Intelligent text extraction using OCR and deep learning
Transform unstructured, human-readable text into structured and validated data using OCR + Deep Learning to extract relevant information. Digitize everything from documents, PDFs to number plates and utility meters. Extract relevant info and key fields.
About Nanonets OCR on Product Hunt
“Intelligent text extraction using OCR and deep learning”
Nanonets OCR launched on Product Hunt on August 16th, 2019 and earned 185 upvotes and 24 comments, earning #2 Product of the Day. Transform unstructured, human-readable text into structured and validated data using OCR + Deep Learning to extract relevant information. Digitize everything from documents, PDFs to number plates and utility meters. Extract relevant info and key fields.
On the analytics side, Nanonets OCR competes within Developer Tools, Artificial Intelligence and Tech — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Nanonets OCR performed against the three products that launched closest to it on the same day.
Who hunted Nanonets OCR?
Nanonets OCR was hunted by Kat Manalac. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Kat Manalac