LlamaParse Founder: Specialized OCR Outperforms Open Models on Complex Docs
solyarisoftware · x · 2026-09-01
LlamaParse founder Jerry Liu compared the quality of three OCR approaches:
- Specialized Providers (e.g., LlamaParse): Optimized for the long tail of complex docs with fewer hallucinations. They use post-trained VLMs with tuned bounding boxes for agent citation tracing and include endpoints for extraction and splitting.
- Open-weight VLMs (e.g., Paddle, MinerU): Reasonable for simple docs like text/tables with basic visual reasoning. They can be cheap to host but offer unreliable quality.
- Free OSS libs (e.g., liteparse): Aimed at universal accessibility (text cut off).
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