TableFlow
Turn messy documents into structured data with AI-powered extraction
TableFlow is an AI-powered document extraction and automation platform that converts unstructured files—PDFs, Excel spreadsheets, CSVs, and scanned images—into validated, structured data. It offers intelligent templates, multi-step validation, and AI-driven matching to reconcile extracted data against ERP systems or purchase orders. Clean data can be routed directly to downstream systems via API or webhook, with exceptions flagged for human review.
Users define a template once; the AI extracts, validates, and matches data from any incoming document format, then routes clean data to ERPs or other systems via API while flagging exceptions
Operations and data teams at companies dealing with high volumes of supplier documents, packing lists, and invoices
Background.
- Status
- launched
- Business model
- unknown
Similar projects.
Editorial take on the space this project sits in — momentum signals, adjacent moves, our call on whether the wedge is real. Get pinged when we publish a new read or when the landscape shifts.
Have a take on this space?
Tell us what you’d build differently, where you think the incumbents miss, or what we’ve gotten wrong about this project. Comments + reactions are coming soon.