Automate extraction of structured data from PDFs (invoices, resumes)

Automate extraction of structured data from PDFs (invoices, resumes) targets a $10.0B = 5M businesses × $2K ACV total addressable market with high saturation and a year-over-year growth rate of 25% CAGR (document AI and intelligent document processing market; source: MarketsandMarkets / Gartner industry coverage summaries).

Key trends driving demand: Automated document processing — companies are moving manual document workflows to automated APIs and RPA to reduce headcount and errors, increasing demand for extraction services.; Layout-aware models — transformer-based models that understand document layout dramatically improve table and line-item extraction accuracy and make product differentiation possible.; API-first adoption — developers increasingly prefer API-first building blocks to stitch into ERPs, ATS and automation platforms, which favors a lightweight extraction API.; Hybrid human-in-the-loop workflows — customers expect human correction paths for edge cases, creating an opportunity to combine ML with human feedback loops to improve accuracy..