OCR.space alternatives
Models that cover what OCR.space does, closest first. All of them take the same request, so trying one is a one-word change.
Fast document OCR that returns clean Markdown with tables and embedded images.
Document parser built for RAG pipelines, with several quality tiers.
Hosted version of the open-source Marker and Surya models. Strong on books and papers.
Azure layout model with tables, selection marks and prebuilt invoice and ID readers.
Google Cloud OCR with layout parsing and specialised processors.
Document ETL for RAG. Partitions many file types into typed elements; open-source library too.
Dashed tags are things OCR.space does not support. Model IDs: mistral/mistral-ocr, llamaindex/llamaparse, datalab/marker, azure/document-intelligence, google/document-ai, unstructured/unstructured.