opendataloader-project/opendataloader-pdf
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 1 day ago, with 36 contributors on GitHub.
Peaked at #6 in the weekly ranking the week of Apr 12, its best in the past year.
Use Cases & Benefits
- Parses PDFs to extract structured AI-ready data and automate PDF accessibility with layout analysis and auto-tagging.
- Delivers top-ranked extraction accuracy with deterministic output, bounding boxes, hybrid AI mode, and first open-source end-to-end PDF auto-tagging.
- Use for extracting precise text, tables, formulas, and images with coordinates from digital and scanned PDFs for RAG and LLM pipelines.
- Use for automating PDF accessibility compliance by converting untagged PDFs into Tagged PDFs following Well-Tagged PDF specs.
- Use for generating AI descriptions of charts and images to enhance accessibility and semantic understanding in documents.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
🔍 PDF parser for AI data extraction — Extract Markdown, JSON (with bounding boxes), and HTML from any PDF. #1 in benchmarks (0.90 overall). Deterministic local mode + AI hybrid mode for complex pages.
♿ PDF accessibility automation — The same layout analysis engine also powers auto-tagging. First open-source tool to generate Tagged PDFs end-to-end (coming Q2 2026).
Requires: Java 11+ and Python 3.10+ (Node.js | Java also available)
Before you start: run
java -version. If not found, install JDK 11+ from Adoptium.Annotated PDF output — each element (heading, paragraph, table, image) detected with bounding boxes and semantic type.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
2.9K+186
Open issues
30-57
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| D4Vinci/Scrapling | 101.1K | +6.3K | 75 | 6 days ago |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| heygen-com/hyperframes | 82.3K | +4.0K | 75 | today |
| harry0703/MoneyPrinterTurbo | 142.0K | +3.8K | 75 | 3 days ago |
| github/spec-kit | 149.2K | +2.6K | 75 | today |
| opendataloader-project/opendataloader-pdf | 30.2K | — | 65 | 1 day ago |
| Category median | 115.8K | +4.0K | 75 | — |
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