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.
“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.
Nanonets OCR was featured in Developer Tools (511k followers), Artificial Intelligence (466.2k followers) and Tech (621.5k followers) on Product Hunt. Together, these topics include over 313.8k products, making this a competitive space to launch in.
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.
Want to see how Nanonets OCR stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kat Manalac