Document AI, with a human behind it.
Parsinga turns unstructured documents — resumes, invoices, contracts, claims, lab reports — into clean, structured data your systems can actually use. We're built by Talentmicro Innovations, and we've been parsing documents in production for five years.
We started by parsing resumes. Then customers asked for everything else.
Five years ago we shipped our first resume parser for an enterprise HR team drowning in PDF attachments. The brief was simple — pull structured candidate data out of messy CVs — but the real work was in the edge cases. Scanned pages. Non-English names. Unusual layouts. Missing fields. The kind of problems generic OCR gets wrong 1% of the time, which breaks an ATS pipeline every day.
We solved it by pairing AI extraction with a human-in-the-loop review step. Every parser we ship gets validated against real customer data before it goes live. Over 5M documents later, that discipline is still what separates us.
Today Parsinga runs in HR, finance, legal, insurance, operations, and healthcare — anywhere a team is moving data from paper or PDF into a system of record. The platform is the same. The approach is the same. The bar is 100% accuracy, verified.
Real production numbers · measured across enterprise deployments
What makes Parsinga different.
We made deliberate choices about how this platform works. Each one shows up in how quickly you can ship and how confident you can be in what we extract.
Talentmicro Innovations.
Parsinga is a product of Talentmicro Innovations, a company that's been building AI-driven platforms for HR and enterprise operations since 2020. We bring deep roots in staffing, recruitment, and workflow automation to every parser we ship — which is why our models handle the awkward real-world documents that textbook examples miss.
Ready to see it on your documents?
Send us a sample.
We'll build a parser tailored to your exact schema, validate it with human review, and hand you a production API. Usually in under a week.