OCRs.ai

Turn any document, image, or video into structured, searchable text

Layout-preserving OCR with an AI QC pass. View it, export it, or embed it straight into the vector database of your choice.

ORIGINAL

EXTRACTED — LAYOUT PRESERVED

One pipeline. Five jobs.

OCR engine

Google Document AI reads every page, image, and video frame — printed or handwritten, any layout.

AI QC layer

A DeepSeek pass reconciles every engine's output against the others and returns one corrected transcript — never inventing a token neither source produced.

Layout reconstructor

Bounding boxes, tables, and reading order come back with the text, so output can be viewed, exported, or searched in the same shape as the input.

Embeddings pipeline

Structure-aware chunking and embeddings, generated automatically once a job completes.

Vector DB export

Push straight to Pinecone, Qdrant, Weaviate, or your own Postgres — or use the zero-config store built in.

Built for developers, not just dashboards

Everything in the product is available as a documented REST API from day one.

curl https://api.ocrs.ai/v1/documents/ \
  -H "Authorization: Bearer ocr_..." \
  -F file=@invoice.pdf

curl https://api.ocrs.ai/v1/documents/{id}/
# { "status": "completed", "pages": [...] }

How it works

Upload→
OCR→
DeepSeek QC→
Layout rebuild→
View / export→
Embed + push