Solutions / AI and data teams
Ship retrieval over your own files without building a parsing stack.
Retrieval quality is decided by how well your source files were read. OCRs.ai gives you clean, chunk-ready text with embeddings written where you need them.
What gets in the way
The problem today
Open-source parsers drop tables, merge columns and lose headings.
Every new file format adds another brittle branch to the ingestion pipeline.
Embedding and loading into a vector store is a separate project on top of extraction.
What changes
With OCRs.ai
Layout-aware text that chunks cleanly along real document structure.
Documents, images, audio and video handled through one API.
Embeddings written directly to Pinecone, Qdrant, Weaviate or pgvector.
Typical files
What teams send us
Knowledge basesProduct manualsResearch papersRecorded callsTraining videosArchives
Step 3 of 4
Verify
An AI quality-control pass reviews the extraction and corrects likely recognition errors before you see it.
Misread total corrected
Broken date repaired
Merged table cells split
42 blocks re-checked
Try it on your own files.
Pay-as-you-go is $0.012 per page with no minimum, so a pilot costs almost nothing. Need a contract or volume rates? Contact us.
FAQ