Document OCR for RAG & Vector Search
Extract clean text and Markdown paragraphs from scanned documents to cut retrieval noise in RAG systems.
Drop your file here
PDF, PNG, JPG, WebP, BMP, HEIC
PDF up to 1 GB · images up to 20 MB
Tips for a clear photo
- Lay the page flat.
- Use even light, with no shadows.
- Turn off the flash to avoid glare.
- Fill the frame with the page.
How Poor OCR Corrupts RAG Pipelines
- Garbled characters and broken words degrade embedding vectors and cause similarity search failures.
- Unstructured OCR dumps split table rows and headings awkwardly across chunk boundaries.
- Non-Latin languages like Urdu and Arabic suffer severe character fragmentation in standard OCR tools.
Paragraph Markdown Export
Outputs a Markdown file of paragraphs in reading order, with PDF pages separated by page comments, ready to split into chunks. Headings and tables are not added.
High Character Fidelity
Accurately extracts text across 100+ languages to ensure reliable dense and sparse embeddings.
Structured JSON Output
Access bounding boxes, word confidences, and page-level metadata for advanced retrieval.
Developer API for Ingestion
Automate document ingestion into LangChain, LlamaIndex, and custom pipelines via REST API.
Frequently Asked Questions
Why is high OCR accuracy critical for RAG systems?
Embedding models rely on precise text representations. Misspelled words or scrambled characters create faulty vector embeddings, causing retrieval failures and model hallucinations.
Can I use FastOCR in an automated ingestion pipeline?
Yes. FastOCR provides a REST API that returns text or structured JSON for automated RAG indexing. Markdown is a web download.
What file formats can FastOCR ingest for RAG?
You can upload PDF files up to 1GB, as well as PNG, JPG, WebP, and HEIC image formats.
Need Multi-Page PDF OCR or Batch Processing?
Extract text from scanned PDFs, translate single images into 65+ languages, or upload several files at once on the main FastOCR engine. See pricing and limits
Explore Main FastOCR Engine →