Best OCR APIs for Tables & Financial Statements
High-fidelity table structure recognition with cell span preservation and mathematical audit checks.
⚡ Critical Capabilities Required for this Workflow
Recommended OCR Providers
Highest scoring engines for best ocr apis for tables & financial statements.
Mistral OCR 4
by Mistral AI
State-of-the-art multimodal Vision-Language OCR with spatial bounding boxes, HTML tables, and LaTeX math.
olmOCR-2
by AllenAI (Ai2)
7B VLM trained with Reinforcement Learning with Verifiable Rewards (RLVR) converting 1M pages for ~$176.
Azure AI Document Intelligence
by Microsoft Azure
Enterprise AI document parsing with 14 prebuilt models, coordinate mapping, and hybrid container support.
AWS Textract
by Amazon Web Services
Enterprise-grade machine-learning OCR with spatial bounding boxes and specialized financial extraction.
💰 Pricing Strategy & Cost Optimization Insight
Azure AI Document Intelligence Layout model ($10.00/1k) includes text and tables in a single pass. Mistral OCR 4 outputs structured HTML tables at $2.00-$4.00/1k pages, while olmOCR-2 handles tables zero-shot on self-hosted GPUs.
❓ Frequently Asked Questions
What is the TEDS metric for table OCR evaluation? ▼
TEDS (Tree-Edit-Distance-based Similarity) measures both the accuracy of cell contents and the hierarchical row/column structural tree representation.
Can I convert scanned tables directly into Excel spreadsheets? ▼
Yes, ABBYY FineReader and Azure Document Intelligence offer native formatted .xlsx export, while Mistral OCR 4 outputs structured HTML tables easily converted to spreadsheets.