![Somya M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Somya M.")
SM

Somya M.

Product Manager

Mid-Market (51-1000 emp.)

3/19/2026

"Effortless Structured Data Extraction from Complex Documents"

4.5/5

What do you like best about Unstract?

What I like best about Unstract is how effectively it handles complex, unstructured documents and converts them into clean, structured data with minimal manual effort. The platform is intuitive to use, and the accuracy of extraction is quite reliable across different document types. It has significantly reduced the time spent on manual processing, while still allowing enough flexibility to fine-tune and improve results when needed. Review collected by and hosted on G2.com.

What do you dislike about Unstract?

One area where Unstract could improve is in consistency and reliability during extraction, as there are occasional cases where multiple attempts are needed to get accurate results. Additionally, debugging or understanding why certain extractions fail can be a bit challenging, as visibility into the underlying process is limited. Improving stability and providing better insights into errors would make the overall experience more seamless. Review collected by and hosted on G2.com.

What problems is Unstract solving and how is that benefiting you?

Unstract is solving the challenge of extracting structured data from complex, unstructured documents, which would otherwise require significant manual effort and time. It helps automate this process, reducing dependency on manual data entry and minimizing errors. This has improved overall efficiency for us, allowing the team to focus more on analysis and decision-making rather than spending time on repetitive document processing tasks. Review collected by and hosted on G2.com.

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4.4 out of 5 · Verified reviews from real users

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