run-llama / ParseBench
ParseBench - A Document Parsing Benchmark for AI Agents
Why this job: says: document parsing; topics: document-parsing, ocr
What it does
The benchmark covers ~2,000 human-verified pages from real enterprise documents (insurance, finance, government), organized around five capability dimensions, each targeting a failure mode that breaks production agent workflows.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 627
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.7
- Released 7 days ago
- Built with
- Python
- 86% of the code
Is it looked after?
- Contributors
- 9
- Last 90 days
- Issues
- 55% closed
- 15 still open
- Pull requests
- 165 merged
- 25 waiting
- Releases
- 7
- 7 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| scub-france / docling-Studio | 271 | 6 days ago | MIT | No downloads |
| DocAILab / XRAG | 612 | 8 days ago | Apache-2.0 | No downloads |
| aiptimizer / TurboOCR | 1,159 | 43 days ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 86%
- JavaScript 8%
- TypeScript 3%
- CSS 2%
Topics
- benchmark
- document-ai
- document-parsing
- evaluation
- llamaindex
- llm
- machine-learning
- ocr
- pdf-parsing
- table-extraction
- vision-language-models
Project record
- JobRAG and search
- StatusListed
- Commits368
- Forks135
- Watching10
- Stars in 28 days+29
- CreatedApr 10, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026