{"schema":"context/v1","query":"VTracer raster SVG palette cutout stacked simplify editable paths StarVector","records":[{"id":"art_01M6K3M2ENGCBHGEVF68CQP849","type":"article","title":"VTracer (MIT text, as read): tracing a flat AI illustration or title mark to SVG, modes, options, 1.0 additions, libraries, contrast with StarVector, Recraft","revision":1,"url":"https://veyrul.com/articles/art_01M6K3M2ENGCBHGEVF68CQP849","api_url":"https://veyrul.com/v1/records/art_01M6K3M2ENGCBHGEVF68CQP849","content":"# VTracer (MIT text, as read): tracing a flat AI illustration or title mark to SVG, modes, options, 1.0 additions, libraries, contrast with StarVector, Recraft\n\n- id: art_01M6K3M2ENGCBHGEVF68CQP849\n- type: article · status: active · revision: 1\n- author: @veyrul-import (operator: Veyrul founder operations, declared)\n- evidence: inspection=source_inspected, execution=not_run, review=unreviewed\n- categories: T05 · tags: vtracer, svg, raster-to-vector, tracing, title-mark, cutout, adaptive-threshold, python, rust, starvector, recraft, documented-not-tested\n- updated: 2026-11-04T11:03:03.852Z\n- url: https://veyrul.com/articles/art_01M6K3M2ENGCBHGEVF68CQP849\n\nRights:\n- documentation: license=unknown hosting=permitted redistribution=permitted modification=permitted training=unknown · Summary and paraphrase of the VTracer README and its LICENSE file at commit e71343fb; the LICENSE file contains standard MIT permission text with no title line (MIT text, as read) and a copyright line for 2024. Option names are quoted short and no code block is copied. The README's comparisons with Potrace and Adobe Illustrator are the README's statements, attributed and not adopted. Our own catalogue records are cited under their own rights blocks. No legal conclusion is drawn.\n\n## Saved content\nWhat the VTracer README (visioncortex/vtracer at commit e71343fb; its licence file is MIT text, as read) says about turning a flat AI illustration or title mark into SVG with an open tracer: the black and white preset, an adaptive threshold for uneven scans, stacked versus cutout shapes, palettes, simplify, and what is new in 1.0 (shown with an alpha release number), plus the library calls for Python, Rust and Node that convert images. VTracer's comparisons with Potrace and Adobe Image Trace are reported as the README's own statements. A contrast with the StarVector, Recraft and SVG-limits records uses only statements pinned in each record: token size, primitives versus paths, hosted Vectorize, and tracing gaps. Nothing was installed or run and no image was traced; a title mark must be fictional or user-owned. Read 2026-11-04.\n{\n  \"text\": \"## Answer: a checklist for tracing a flat image to SVG (our reading of the README)\\n\\nVTracer is an open source converter from raster images (jpg, png) to SVG, with a console app and Rust, Python and Node libraries, at commit e71343fb of github.com/visioncortex/vtracer; its LICENSE file is MIT text, as read. Resources: README https://raw.githubusercontent.com/visioncortex/vtracer/e71343fbcbf469b8a72a255030408a39939162eb/README.md, LICENSE at the same commit, and records art_01M6J61ECN2ZN6V51BFKBEFFJF (StarVector), art_01M5NN6TSR8QVTKNZBAK2GWKK1 (Recraft) and art_01M5MENCDRZFG153J0J6QG6E08 (SVG limits), revision 1. Limits, stated once: documentation only, nothing was installed, run or traced; the README shows 1.0 alpha builds; all VTracer claims are the maintainers' own; Potrace's own documentation is not a source here, so the Potrace comparison is the README's statement only.\\n\\n- Our reading, not the README or the records and not tested: 1. Flat AI illustration with few colours: start from the simplest form (input and output only), then try a fixed palette or a max-colour limit; the README names the stacked default and the cutout alternative for shapes.\\n- Our reading, not the README or the records and not tested: 2. Title mark that is one colour (fictional or user-owned only): use the black and white preset; for a scan with uneven lighting use the black-and-white clustering with the adaptive threshold, or a fixed threshold.\\n- Our reading, not the README or the records and not tested: 3. File size: the README says its simplify option typically halves file size and gives a tolerance to try (1 to 2.5 px); no output size is stated for any image.\\n- Our reading, not the README or the records and not tested: 4. Gapless shapes: the cutout option is the README's seam-free mosaic; its simplify is seam-free in cutout mode.\\n- Our reading, not the README or the records and not tested: 5. After any trace, a person opens the SVG and checks it; keep the raster original. The Recraft record's own proposed acceptance check is a useful list: count paths and nodes, check stacking, check gradients and text, and compare a render with the source raster.\\n- Our reading, not the README or the records and not tested: 6. The README says VTracer can vectorize photographs but states no quality figure and does not mention AI-generated images; claim no quality for a trace until a person has looked at it.\\n\\n## Use case, options and what the README states\\n\\n| Use case | Mode, preset and options | What the README states | Where in the README |\\n| --- | --- | --- | --- |\\n| Quick conversion | Input and output only | The simplest form takes an input image and an output SVG with no options | Usage |\\n| Black and white line art | Preset bw | The usage example for black and white line art uses the preset option set to bw; presets are bw, poster and photo | Usage; Full options |\\n| Scanned or photographed line art, uneven lighting | Clustering bw with the adaptive option | Adaptive thresholding is Bradley-Roth; a fixed threshold from 0 to 255 is the alternative | Usage; Full options; New in 1.0 |\\n| Gapless shapes | Hierarchical cutout | Seam-free mosaic (gapless tessellation); stacked is the default | Usage; Full options; New in 1.0 |\\n| Region forming that follows object shape | Clustering watershed with a detail value | Default detail 128, higher means more regions; the README says it pairs with cutout | Usage; Full options; New in 1.0 |\\n| Fixed colours | Palette option or a max-colour limit | Colours snap to a fixed palette; max-colors auto-quantizes | Usage; New in 1.0 |\\n| Smaller output | Simplify with a tolerance; output optimization 0 to 2; speckle filter | Simplify typically halves file size; optimization levels are off, quantize and cleanup, and plus shorthands; speckle filter discards small patches | Full options; New in 1.0 |\\n| Curve shape | Curve-fitting mode pixel, polygon or spline | Three values are listed; three spline flags ar","content_truncated":true,"resources":[{"kind":"external_link","url":"https://raw.githubusercontent.com/visioncortex/vtracer/e71343fbcbf469b8a72a255030408a39939162eb/README.md","label":"visioncortex/vtracer README.md at commit e71343fb","relation":"citation","availability":"unknown","checked_at":null,"access":"external_conditions_unknown"},{"kind":"external_link","url":"https://raw.githubusercontent.com/visioncortex/vtracer/e71343fbcbf469b8a72a255030408a39939162eb/LICENSE","label":"visioncortex/vtracer LICENSE at commit e71343fb","relation":"citation","availability":"unknown","checked_at":null,"access":"external_conditions_unknown"},{"kind":"external_link","url":"https://veyrul.com/v1/records/art_01M6J61ECN2ZN6V51BFKBEFFJF","label":"Veyrul record art_01M6J61ECN2ZN6V51BFKBEFFJF revision 1 (StarVector, arXiv 2312.11556)","relation":"citation","availability":"unknown","checked_at":null,"access":"external_conditions_unknown"},{"kind":"external_link","url":"https://veyrul.com/v1/records/art_01M5NN6TSR8QVTKNZBAK2GWKK1","label":"Veyrul record art_01M5NN6TSR8QVTKNZBAK2GWKK1 revision 1 (Recraft vector output and Vectorize)","relation":"citation","availability":"unknown","checked_at":null,"access":"external_conditions_unknown"},{"kind":"external_link","url":"https://veyrul.com/v1/records/art_01M5MENCDRZFG153J0J6QG6E08","label":"Veyrul record art_01M5MENCDRZFG153J0J6QG6E08 revision 1 (SVG conversion limits, resvg)","relation":"citation","availability":"unknown","checked_at":null,"access":"external_conditions_unknown"}],"resources_truncated":false,"found_by":"search"},{"id":"art_01M6J61ECN2ZN6V51BFKBEFFJF","type":"article","title":"StarVector (arXiv 2312.11556v4, CC BY 4.0): which SVG primitives a model writes as code, how SVG-Bench scores them, results as reported, stated limits, and a not-tested checklist for judging whether a generated SVG is ready for a motion-graphics tool (documented, not run)","revision":1,"url":"https://veyrul.com/articles/art_01M6J61ECN2ZN6V51BFKBEFFJF","api_url":"https://veyrul.com/v1/records/art_01M6J61ECN2ZN6V51BFKBEFFJF","content":"# StarVector (arXiv 2312.11556v4, CC BY 4.0): which SVG primitives a model writes as code, how SVG-Bench scores them, results as reported, stated limits, and a not-tested checklist for judging whether a generated SVG is ready for a motion-graphics tool (documented, not run)\n\n- id: art_01M6J61ECN2ZN6V51BFKBEFFJF\n- type: article · status: active · revision: 1\n- author: @veyrul-import (operator: Veyrul founder operations, declared)\n- evidence: inspection=source_inspected, execution=not_run, review=unreviewed\n- categories: T05 · tags: svg, vector-graphics, starvector, svg-bench, svg-primitives, image-to-svg, motion-graphics-readiness, paper, cc-by-4.0, documented-not-tested\n- updated: 2026-11-04T02:26:04.789Z\n- url: https://veyrul.com/articles/art_01M6J61ECN2ZN6V51BFKBEFFJF\n\nRights:\n- documentation: license=unknown hosting=permitted redistribution=permitted modification=permitted training=unknown · Summary and paraphrase of StarVector: Generating Scalable Vector Graphics Code from Images and Text by Juan A. Rodriguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodriguez, Sai Rajeswar, David Vazquez, Christopher Pal and Marco Pedersoli (arXiv 2312.11556v4), shown on the abs page with the CC BY 4.0 licence link (http://creativecommons.org/licenses/by/4.0/) and on the full-text page with the label License: CC BY 4.0. The authors are credited; the staged pages are unmodified copies; changes: condensed, paraphrased and reorganised; short quotations only; no figure, generated SVG, example or dataset item is reproduced or described and no endorsement by the authors is implied.\n\n## Saved content\nA reading of arXiv 2312.11556v4, StarVector: Generating Scalable Vector Graphics Code from Images and Text (Juan A. Rodriguez, Abhay Puri, Shubham Agarwal and six co-authors), from its abs page and full-text HTML (read 2026-11-03): a multimodal model that writes SVG code using primitives (circle, ellipse, polygon, rectangle, text, arrow) rather than tracing curves. A primitive table (primitive, when the model uses it, section), the SVG-Bench tasks, datasets and metrics beside pixel metrics, results as reported, stated limits on context length and complex SVG structures, the little the paper says about editable text, groups, layers and animation, a not-tested checklist for judging whether a generated SVG is ready for a motion-graphics tool, a status line for the open question, and what stays human. SVG-Stack terms, model weights and code are named only. CC BY 4.0; authors credited. Nothing was run.\n{\n  \"text\": \"## What was read and how to use it\\n\\nTwo pages of arXiv 2312.11556, StarVector: the abs page (title, authors, dates, licence) and the full-text HTML page. The authors present a multimodal language model that takes an image or a text instruction and writes SVG code directly, using SVG primitives where curve-tracing tools use long paths. Everything below is what the paper says, attributed to its authors, except the sections labelled as our reading. Nothing was run, downloaded or generated; no figure or generated SVG is reproduced or described, and dataset and benchmark terms were not read. The note says nothing about a real person's likeness.\\n\\n## Primitive table (as the paper states it)\\n\\nColumns follow the brief: primitive, when the model uses it, section. The paper names primitives in prose and in a tag-distribution figure that is not reproduced here; it gives no complete list of tags or attributes, so a blank here means not stated.\\n\\n| Primitive | When the model uses it (as stated) | Section |\\n| --- | --- | --- |\\n| path | Basic curves. Curve-tracing methods rely on paths; StarVector uses paths and also the other primitives. Some baselines needed simplified path-only versions of the datasets, and SVG-FIGR is a path-only icon set | Introduction; 5.1; Appendix 10.4 |\\n| circle / ellipse | A circle as one circle primitive instead of a long path; ellipses are named in the abstract as a primitive the model learns to use | Introduction; abstract; Appendix 10.4 |\\n| polygon (including triangles) | Named in the abstract; the primitive-usage test used designs of circles, rectangles and triangles with varied colour, transparency and overlap | Abstract; Appendix 10.4 |\\n| rectangle | Diagram generation: the model applies rectangles, arrows and text where other methods produce blobs and curves | Section 5.1; 6.1 |\\n| text | Text should be written as editable text elements to keep the original wording; in the diagram example the paper says StarVector preserves the text | Introduction; Figure 2 caption; 6.1 |\\n| arrow | Diagram generation, with text and rectangles | Section 5.1; 6.1 |\\n| gradient | The Figure 2 caption says the model preserves colour gradients, and Appendix 10.4 lists gradients among the elements it uses; how a gradient is written in the SVG is not stated in the text read | Figure 2 caption; Appendix 10.4 |\\n| other tags | The paper says the model uses the range of SVG tags and syntax, in contrast with methods limited to paths and basic primitives, and compares tag distribution with the training set (the figure is not reproduced) | Appendix 10.4 |\\n\\n## Inputs, model and output (as the paper states it)\\n\\n- Inputs: an image (image-to-SVG) or a text instruction (text-to-SVG); the model produces SVG code.\\n- Design: images become visual tokens that precede the SVG code tokens; a non-linear adapter projects image features into the language model's space.\\n- StarVector-1B: CLIP ViT-B/32 image encoder at 224x224 (257 visual tokens), StarCoder-1B, context length 8192 tokens.\\n- StarVector-8B: SigLip image encoder at 384x384 (576 visual tokens), StarCoder2-7B, context length 16k tokens, 8B parameters in total.\\n- Generation: the SVG code is sampled until an end-of-SVG token; the authors name valid syntax and compactness as the two challenges, say decoding is stochastic, and say a limited context can leave an SVG incomplete. The model is sensitive to temperature, length penalty and logit bias.\\n- Output length: the paper reports tokens (not path counts) as its size measure; see the results below.\\n\\n## SVG-Bench: tasks, datasets and metrics (as the paper states it)\\n\\n| Item | What the paper says | Section |\\n| --- | --- | --- |\\n| Overall | A benchmark across 10 datasets and 3 tasks: Image-to-SVG, Text-to-SVG and diagram generation | Abstract; 5 |\\n| Image-to-SVG | SVG-Fonts, SVG-Emoji, SVG-Icons and SVG-Stack, increasing in complexity, with standardized splits and simplified path-only versions for compatibilit","content_truncated":true,"resources":[{"kind":"external_link","url":"https://arxiv.org/abs/2312.11556","label":"arXiv 2312.11556 StarVector abs page (version v4)","relation":"citation","availability":"unknown","checked_at":null,"access":"external_conditions_unknown"},{"kind":"external_link","url":"https://arxiv.org/html/2312.11556","label":"arXiv 2312.11556 StarVector full-text HTML page (version v4)","relation":"citation","availability":"unknown","checked_at":null,"access":"external_conditions_unknown"}],"resources_truncated":false,"found_by":"search"},{"id":"src_01M569GAAC5GJE93MDHS62VE83","type":"source","title":"StarVector (image/text to SVG)","revision":2,"url":"https://veyrul.com/sources/src_01M569GAAC5GJE93MDHS62VE83","api_url":"https://veyrul.com/v1/records/src_01M569GAAC5GJE93MDHS62VE83","content":"# StarVector (image/text to SVG)\n\n- id: src_01M569GAAC5GJE93MDHS62VE83\n- type: source · status: active · revision: 2\n- author: @veyrul-import (operator: Veyrul founder operations, declared)\n- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed\n- categories: T17, T05 · tags: svg-generation, vector, vlm, benchmark, level:frontier, code:python\n- updated: 2026-10-18T01:24:19.642Z\n- url: https://veyrul.com/sources/src_01M569GAAC5GJE93MDHS62VE83\n\nEvidence claims:\n- [upstream_claim] README: StarVector is a multimodal VLM for SVG generation, supporting image2SVG and text2SVG by posing generation as code generation; models released on Hugging Face (1B, 8B); SVG-Bench and svg-stack datasets linked. · locator: README intro and news · source: https://github.com/joanrod/star-vector\n- [sourced_fact] HF metadata: starvector-1b-im2svg and starvector-8b-im2svg carry license:apache-2.0; datasets/starvector/svg-stack exposes no license tag. · locator: HF API tags · source: https://huggingface.co/api/models/starvector/starvector-8b-im2svg\n- [sourced_fact] Repo metadata: Apache-2.0 code, not archived, last push 2025-11-07. · locator: GitHub API fields · source: https://api.github.com/repos/joanrod/star-vector\n- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.\n\nRights:\n- code: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · Apache-2.0. · evidence: https://github.com/joanrod/star-vector/blob/main/LICENSE\n- model_weights: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · HF license tags only; base model licenses (VLM backbone) not checked. · evidence: https://huggingface.co/api/models/starvector/starvector-8b-im2svg, https://huggingface.co/api/models/starvector/starvector-1b-im2svg\n- dataset: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · svg-stack has no license tag on HF; scraped SVG provenance not assessed. · evidence: https://huggingface.co/api/datasets/starvector/svg-stack\n\n## Saved content\n\n{\n  \"text\": \"\",\n  \"archived\": false,\n  \"revision\": {\n    \"ref\": \"main\",\n    \"pinned\": false\n  },\n  \"checked_at\": \"2026-10-17T00:00:00.000Z\",\n  \"parent_url\": null,\n  \"usefulness\": \"Vision-language model family (1B and 8B) that generates SVG code from images or text, with the SVG-Bench benchmark and SVG-Stack dataset; a research route to editable vector illustration and icons rather than raster output.\",\n  \"source_type\": \"repository\",\n  \"availability\": \"available\",\n  \"dependencies\": [],\n  \"source_owner\": \"StarVector authors (joanrod)\",\n  \"canonical_url\": \"https://github.com/joanrod/star-vector\",\n  \"next_check_at\": \"2026-10-31T00:00:00.000Z\",\n  \"successor_url\": null,\n  \"hardware_notes\": null,\n  \"known_limitations\": [\n    \"Dataset rights unresolved.\"\n  ],\n  \"upstream_updated_at\": \"2025-11-07T20:31:24.000Z\"\n}","content_truncated":false,"resources":[{"kind":"external_link","url":"https://github.com/joanrod/star-vector","label":"StarVector (image/text to SVG)","relation":"repository","availability":"available","checked_at":"2026-10-17T00:00:00.000Z","access":"external_conditions_unknown"}],"resources_truncated":false,"found_by":"search"},{"id":"dsc_01M569J7BK3XTMDSTJJ66FFSK1","type":"discussion","title":"Are generated SVGs from StarVector/OmniSVG clean enough for motion-graphics pipelines (Lottie, Rive, After Effects)?","revision":1,"url":"https://veyrul.com/discussions/dsc_01M569J7BK3XTMDSTJJ66FFSK1","api_url":"https://veyrul.com/v1/records/dsc_01M569J7BK3XTMDSTJJ66FFSK1","content":"# Are generated SVGs from StarVector/OmniSVG clean enough for motion-graphics pipelines (Lottie, Rive, After Effects)?\n\n- id: dsc_01M569J7BK3XTMDSTJJ66FFSK1\n- type: discussion · status: open · revision: 1\n- author: @veyrul-import (operator: Veyrul founder operations, declared)\n- evidence: inspection=discovered, execution=not_run, review=unreviewed\n- categories: T17, T05 · tags: level:frontier, research-question\n- updated: 2026-10-18T01:21:05.385Z\n- url: https://veyrul.com/discussions/dsc_01M569J7BK3XTMDSTJJ66FFSK1\n\n## Saved content\n\n{\n  \"kind\": \"question\",\n  \"text\": \"Both model families produce SVG code, but animation needs sane path structure, grouping and layer naming. How do generated SVGs compare with hand-built vectors when imported into Lottie/Rive/motion tools, and does any benchmark measure editability rather than pixel similarity?\\n\\nWhy this is still open: READMEs report visual fidelity benchmarks; no source read evaluates structural editability or animation-readiness.\"\n}","content_truncated":false,"resources":[],"resources_truncated":false,"found_by":"relationship"},{"id":"src_01M569GAHWF1G68NB7GP1M8TCT","type":"source","title":"OmniSVG","revision":2,"url":"https://veyrul.com/sources/src_01M569GAHWF1G68NB7GP1M8TCT","api_url":"https://veyrul.com/v1/records/src_01M569GAHWF1G68NB7GP1M8TCT","content":"# OmniSVG\n\n- id: src_01M569GAHWF1G68NB7GP1M8TCT\n- type: source · status: active · revision: 2\n- author: @veyrul-import (operator: Veyrul founder operations, declared)\n- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed\n- categories: T17, T05 · tags: svg-generation, vector, vlm, benchmark, non-commercial-data, level:frontier, code:python\n- updated: 2026-10-18T01:24:30.233Z\n- url: https://veyrul.com/sources/src_01M569GAHWF1G68NB7GP1M8TCT\n\nEvidence claims:\n- [upstream_claim] README: releases OmniSVG1.1_8B and updated 4B weights (2025-12-02), MMSVGBench and evaluation code, enlarged MMSVG-Icon (904K) and MMSVG-Illustration (255K) datasets (2025-12-22); inference script supports text-to-svg. · locator: README news and inference sections · source: https://github.com/OmniSVG/OmniSVG\n- [sourced_fact] HF metadata: OmniSVG1.1_8B carries license:apache-2.0; datasets MMSVG-Icon and MMSVG-Illustration carry license:cc-by-nc-sa-4.0 (Icon gated 'auto'). · locator: HF API tags · source: https://huggingface.co/api/datasets/OmniSVG/MMSVG-Illustration\n- [sourced_fact] Repo metadata: Apache-2.0, not archived, last push 2026-03-01. · locator: GitHub API fields · source: https://api.github.com/repos/OmniSVG/OmniSVG\n- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.\n\nRights:\n- code: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · Apache-2.0. · evidence: https://github.com/OmniSVG/OmniSVG/blob/main/LICENSE\n- model_weights: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · HF tag for 1.1_8B only; base backbone license (Qwen-family per README grep) not checked. · evidence: https://huggingface.co/api/models/OmniSVG/OmniSVG1.1_8B\n- dataset: license=CC-BY-NC-SA-4.0 hosting=restricted redistribution=restricted modification=restricted training=unknown · NonCommercial ShareAlike per HF tags; training on it for commercial models is likely restricted (inference, not verified). · evidence: https://huggingface.co/api/datasets/OmniSVG/MMSVG-Illustration, https://huggingface.co/api/datasets/OmniSVG/MMSVG-Icon\n\n## Saved content\n\n{\n  \"text\": \"\",\n  \"archived\": false,\n  \"revision\": {\n    \"ref\": \"main\",\n    \"pinned\": false\n  },\n  \"checked_at\": \"2026-10-17T00:00:00.000Z\",\n  \"parent_url\": null,\n  \"usefulness\": \"NeurIPS 2025 family of VLM-based end-to-end SVG generators (text-to-SVG, image-to-SVG; 1.1 weights up to 8B) with MMSVG-Icon/Illustration datasets and MMSVGBench. Frontier for complex vector illustration; datasets are non-commercial.\",\n  \"source_type\": \"repository\",\n  \"availability\": \"available\",\n  \"dependencies\": [],\n  \"source_owner\": \"OmniSVG team\",\n  \"canonical_url\": \"https://github.com/omnisvg/omnisvg\",\n  \"next_check_at\": \"2026-10-31T00:00:00.000Z\",\n  \"successor_url\": null,\n  \"hardware_notes\": null,\n  \"known_limitations\": [\n    \"Dataset non-commercial; GPU memory needs listed in README table (not extracted).\"\n  ],\n  \"upstream_updated_at\": \"2026-03-01T14:47:29.000Z\"\n}","content_truncated":false,"resources":[{"kind":"external_link","url":"https://github.com/omnisvg/omnisvg","label":"OmniSVG","relation":"repository","availability":"available","checked_at":"2026-10-17T00:00:00.000Z","access":"external_conditions_unknown"}],"resources_truncated":false,"found_by":"relationship"},{"id":"src_01M569GA3M6N2768FRW29TAWED","type":"source","title":"lottie-web","revision":3,"url":"https://veyrul.com/sources/src_01M569GA3M6N2768FRW29TAWED","api_url":"https://veyrul.com/v1/records/src_01M569GA3M6N2768FRW29TAWED","content":"# lottie-web\n\n- id: src_01M569GA3M6N2768FRW29TAWED\n- type: source · status: active · revision: 3\n- author: @veyrul-import (operator: Veyrul founder operations, declared)\n- evidence: inspection=source_inspected, execution=not_run, review=unreviewed\n- categories: T17, T07 · tags: lottie, after-effects, web-animation, json, level:established, code:javascript\n- updated: 2026-11-07T13:03:51.877Z\n- url: https://veyrul.com/sources/src_01M569GA3M6N2768FRW29TAWED\n\nEvidence claims:\n- [sourced_fact] Repo description: render After Effects animations natively on Web, Android, iOS and React Native; MIT, not archived, last push 2025-09-01. · locator: GitHub API fields description, license, archived, pushed_at · source: https://api.github.com/repos/airbnb/lottie-web\n- [sourced_fact] LICENSE.md is the MIT License, Copyright 2015 Bodymovin. · locator: LICENSE header · source: https://github.com/airbnb/lottie-web/blob/master/LICENSE.md\n- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.\n\nRights:\n- code: license=MIT hosting=permitted redistribution=permitted modification=permitted training=unknown · MIT. Animation files exported by users carry their own rights. · evidence: https://github.com/airbnb/lottie-web/blob/master/LICENSE.md\n- documentation: license=unknown hosting=permitted redistribution=permitted modification=permitted training=unknown · Only the team-authored original attributed summary and links are covered. Upstream papers, tutorials, code, models, weights and media retain their separate terms; no source-text/media redistribution right is implied.\n\n## Saved content\nLottie parses Adobe After Effects animations exported as JSON with the Bodymovin extension and renders them. The README says designers can create and ship animations without an engineer recreating them by hand.\n{\n  \"text\": \"What it supplies: Lottie parses Adobe After Effects animations exported as JSON with the Bodymovin extension and renders them. The README says designers can create and ship animations without an engineer recreating them by hand.\\n\\nUseful for: - Export an After Effects composition to a JSON file and play it on a web page.\\n- Choose an SVG, canvas or HTML renderer through the renderer option.\\n- Control playback of the returned animation instance, for example play, pause and speed.\\n\\nFirst action: - Install the Bodymovin plug-in, recommended from aescripts, and allow scripts to write files and access the network in After Effects preferences.\\n- Select a composition in the bodymovin panel, choose a destination folder and click Render.\\n- Install the player with npm install lottie-web, then call lottie.loadAnimation with a container, renderer and animation path.\\n- Read the documentation site for details and examples.\\n\\nPrerequisites and limits: - The plug-in route needs Adobe After Effects, CC 2014 and up for the Adobe store listing.\\n- After Effects must allow scripts to write files and access the network.\\n\\n- Image sequences, videos and audio are not supported.\\n- Negative layer stretching is not supported.\\n- Masks are supported but with a huge performance hit.\\n- Safari may need lottie.setLocationHref to show masks when a base tag is used.\\n\\nThis README does not state a licence in the text read here, so check the repository's licence file before using or redistributing the library or exported animations. Animation content you export carries its own rights, and After Effects is a separate commercial product.\\n\\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run and no animation was exported or played.\\nBased on README text only; the documentation site, wiki pages and any licence file were not read. No install or run was made; performance claims are the README's own.\\n\\nSource inspected: https://raw.githubusercontent.com/airbnb/lottie-web/bede03d25d232826e0c9dca1733d542d8a7754fb/README.md ; 16651 bytes ; sha256 c65c2b4ebb100e75b9145d1822019cc5d1d9679a2646b84db266a8719d7696f9 ; 14 exact pinned excerpts in the draft pin map\",\n  \"archived\": false,\n  \"revision\": {\n    \"ref\": \"master\",\n    \"pinned\": false\n  },\n  \"checked_at\": \"2026-11-07T10:08:44.094Z\",\n  \"parent_url\": null,\n  \"usefulness\": \"Original Bodymovin/Lottie web player that renders After Effects animations exported as JSON in browsers (SVG/canvas/HTML). The established route from motion-graphics design to lightweight web and app animation.\",\n  \"source_type\": \"repository\",\n  \"availability\": \"available\",\n  \"dependencies\": [],\n  \"source_owner\": \"Airbnb / Bodymovin authors\",\n  \"canonical_url\": \"https://github.com/airbnb/lottie-web\",\n  \"next_check_at\": \"2026-10-31T00:00:00.000Z\",\n  \"successor_url\": null,\n  \"hardware_notes\": null,\n  \"known_limitations\": [\n    \"Only repo metadata and license were checked; maintenance cadence modest (last push Sep 2025).\",\n    \"- The plug-in route needs Adobe After Effects, CC 2014 and up for the Adobe store listing.\\n- After Effects must allow scripts to write files and access the network.\\n\\n- Image sequences, videos and audio are not supported.\\n- Negative layer stretching is not supported.\\n- Masks are supported but with a huge performance hit.\\n- Safari may need lottie.setLocationHref to show masks when a base tag is used.\\n\\nThis README does not state a licence in the text read here, so check the repository's licence file before using or redistributing the library or exported animations. Animation content you export carries its own rights, and After Effects is a separate commercial product.\\n\\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run and no animation was exported or played.\\nBased on README text only; the documentation site, wiki pages and any licence file were not read. 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Source-inspected documentation is not an executed workflow; a small test is not a general quality or compatibility guarantee. Keep proposed code, measured results and remaining assumptions distinct. Do not infer unchanged pixels, deterministic output, spatial preservation, editable MIDI or blanket reuse rights from a tool category, repository licence or snippet. Read the exact relevant primary source when a saved excerpt does not support the claim."}