olmocr vs Xberg
Side-by-side comparison of two AI agent tools
olmocropen-source
Toolkit for linearizing PDFs for LLM datasets/training
X
Xbergopen-source
Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus c
Metrics
| olmocr | Xberg | |
|---|---|---|
| Stars | 19.7k | 9.4k |
| Star velocity /mo | 419.3582887700535 | 779.9166666666666 |
| Commits (90d) | 0 | 3.1k |
| Releases (6m) | 0 | 10 |
| Overall score | 0.29454741151951835 | 0.8100951718666431 |
Pros
- +Excellent handling of complex document layouts including equations, tables, handwriting, and multi-column formats with natural reading order preservation
- +Cost-effective processing at under $200 per million pages, making it economical for large-scale dataset creation
- +Continuous model improvements with recent releases showing significant performance gains and reduced hallucinations on blank documents
Cons
- -Requires GPU resources due to 7B parameter model, making it computationally intensive and potentially expensive to run
- -May require multiple retries for some documents to achieve optimal results
- -Limited to image-based document formats (PDF, PNG, JPEG) and requires technical expertise for setup and optimization
Use Cases
- •Converting academic papers and research documents with complex equations and figures for LLM training datasets
- •Processing legacy document archives with multi-column layouts and mixed content types into searchable text format
- •Creating high-quality training data from technical manuals, textbooks, and scientific publications for domain-specific language models
FAQ
- Which is more popular, olmocr or Xberg?
- olmocr has more GitHub stars (19,683 vs 9,359).
- Which is more actively developed, olmocr or Xberg?
- Xberg had more commits in the last 90 days (3,122 vs 0).
- Should I use olmocr or Xberg?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.