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DeepSeek QC that never invents tokens
How our AI quality pass reconciles OCR engines without hallucinating words that never appeared on the page.
LLM-assisted OCR cleanup is dangerous if the model is allowed to “improve” the page. A confident model will invent a missing account number, fix a name it thinks is wrong, or smooth over a smudge with a plausible word. That is catastrophic for invoices, IDs, and legal docs.
OCRs.ai’s DeepSeek QC pass is constrained: it reconciles candidates from the OCR engines and only emits tokens that already appear in at least one engine’s output. No free invention. No creative spelling.
Reconcile, don’t rewrite
When engines disagree on a line, QC picks among observed strings using layout context — not an open-ended generation prompt.
If nothing agrees and confidence is low, the pipeline surfaces the ambiguity instead of papering over it with a guess.
Why this matters for RAG
Embeddings amplify OCR errors. A hallucinated clause in a contract chunk becomes a retrieval “fact.” Keeping QC honest protects both human review and every downstream vector store.
Try layout OCR with AI QC on OCRs.ai
Free credits at signup — then metered pages and video.