— Allan Carroll
CTO, Loansnap
— Morgan Intrator
Co-founder and VP of engineering, Quanta
— Mike Crowe
CIO, Colgate-Palmolive
Dashy Dash connects restaurants with accurate and up-to-date pricing for the ingredients by tapping into invoice and purchase order data from across the country. To fuel growth and reduce costs, Dashy Dash turned to Impira to automate their data extraction processes.
Amazing product that works very well and is priced reasonably, unlike most of the similar tools on the market that we vetted. The team is super helpful and gets to any questions or concerns we raise immediately. Would highly recommend Impira to any company or organization that faces pain points around complicated document processing.
I like the ease and simplicity of the data extraction process. We process so much data, we needed an easier way.
It is easy to configure and train to get your desired OCR outputs. Provides appropriate API webhooks to configure externally.
I really like the machine learning aspect. Impira's OCR field mapping is very helpful and the ML fills in the gaps
Our customers need us to extract structured data from a strikingly inconsistent set of documents, and we could not do it without Impira. Meanwhile, they're really attentive to our support needs and receptive to feature requests. Again, there's no alternative to Impira if you're trying to embed document processing in your product. We were trying to make it work with Rossum and paid for a year (and it was horribly expensive) and got nothing in return. We never spent the 100 man hours to annotate 500 documents to train their AI. With Impira, you have a trained AI after annotating a single document. I suppose that's the cherry on top. I'm an engineer, however, and I benefit primarily from how easy it is to embed their service in our system - via API and webhooks, etc. Do yourself a favor and try it out.
Easy to use. It complements the ML tool we use for cost optimization. We extracted unstructured data, and it was a manual process; to some extent, we could minimize that.
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