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LLM-aided OCR
#019

LLM-aided OCR

github.com/Dicklesworthstone/llm_aided_ocr
OCRLLM post-processingScanned documentsOpen sourceLocal inference
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Tesseract gets it wrong. Let an LLM fix it

WHAT IT SOLVES

Tesseract OCR is free and everywhere, but it mangles characters constantly. Instead of retraining or tuning, this repo hands the messy output to an LLM and says: proofread this

WHY IT'S INTERESTING

Product taste

Don't rebuild the wheel — patch it

Tesseract writes the rough draft, the LLM does copyediting. Scanned PDF → Tesseract raw text → LLM corrects per-chunk and spits out clean Markdown. The clever bit is smart chunking: you can't stuff a whole page into a context window, so it breaks text semantically, fixes each piece, then stitches it back

Real craft

Works with local models too

Not locked to a single API — supports both local LLMs and cloud endpoints. For anyone scanning contracts or medical docs, that's not a nice-to-have, it's the whole point. Docker-ready, 63 commits, proper changelog — this isn't a weekend drop-and-forget

TECH GUESS

Python, Tesseract OCR under the hood, OpenAI-compatible API interface, Docker for deployment

📍 Source: hn📅 2026-05-25Original post →Visit site →
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