Pulling a name and a date off a page is the easy part of document AI.
The hard part: knowing what the document is, sending unsure fields to a person, giving exceptions a real owner, and tracing every value back to its page.
@rightskale.bsky.social
@rightskale.bsky.socialPulling a name and a date off a page is the easy part of document AI.
The hard part: knowing what the document is, sending unsure fields to a person, giving exceptions a real owner, and tracing every value back to its page.
@tofiquekhan.bsky.socialđź“„ PDFs, scans, invoices and messy tables shouldn't require endless manual work.
Document AI combines OCR, layout detection and AI extraction to turn unstructured files into searchable, usable data.
Messy files in. Structured data out. 🤖
@ossradarai.bsky.socialA comparative study benchmarks eight open-source lightweight VLMs (up to 7B parameters) for OCR-to-JSON extraction on university heritage collections, highlighting open alternatives to closed-source APIs.
#opensource #OCR #documentAI #VLM
https://arxiv.org/abs/2610.11818
@azapiai.bsky.socialManual entry of identity-document details can slow down digital forms. An Aadhaar OCR API can extract fields like name, address, DOB, ID number, gender, and father’s name, helping applications reduce repetitive data entry and process documents faster.
