This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).

Product upvotes vs the next 3

Waiting for data. Loading

Product comments vs the next 3

Waiting for data. Loading

Product upvote speed vs the next 3

Waiting for data. Loading

Product upvotes and comments

Waiting for data. Loading

Product vs the next 3

Loading

BrowserOCR

Private OCR that runs entirely in your browser

Turn images and scanned PDFs into editable text on your device. BrowserOCR supports common image formats, HEIC/TIFF, page-range PDFs, two OCR models, batch exports, and offline reuse—without uploading files or results.

Top comment

I built BrowserOCR for documents that should not have to cross a network just to become searchable text. The OCR models, image decoding, and PDF page rendering all run in the browser, and the work is moved off the main thread so the interface stays responsive. There is a fast model for routine jobs and a larger accuracy model when text is harder to read. The latest release also makes the complete interface available in English, Simplified Chinese, Spanish, and Indonesian while preserving the same page during language changes. I would especially value feedback on difficult scans, table-to-Markdown output, and the clarity of the local-processing explanation.

About BrowserOCR on Product Hunt

Private OCR that runs entirely in your browser

BrowserOCR was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #52 on the daily leaderboard. Turn images and scanned PDFs into editable text on your device. BrowserOCR supports common image formats, HEIC/TIFF, page-range PDFs, two OCR models, batch exports, and offline reuse—without uploading files or results.

On the analytics side, BrowserOCR competes within Productivity — topics that collectively have 661.3k followers on Product Hunt. The dashboard above tracks how BrowserOCR performed against the three products that launched closest to it on the same day.

Who hunted BrowserOCR?

BrowserOCR was hunted by mno tao. 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.

For a complete overview of BrowserOCR including community comment highlights and product details, visit the product overview.