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).
untxt.
The shoebox of receipts, auto-sorted into clean data.
untxt. auto-turns messy receipts, invoices, bills, scans, phone photos, and PDFs into reviewable bookkeeping data: the cleanup before the books. Zero setup. Zero rules. Zero training.
Hey PH, Sebastian here, one half of untxt (Ben's the other).
I started this because I was asked to digitize a bookkeeping firm, and I quickly realized their productivity issues were relatively small compared to the real bottleneck: hand-typing receipts, invoices and every other document, simply because the error rate on existing automation tools was high while trust was low.
So we built the boring thing nobody wants to: the cleanup before the books. You throw in the messy receipts, invoices, bills, phone photos, PDFs, and untxt turns it into clean, sorted, reviewable data. No setup, no rules to configure, no model to train. We built it in reverse: instead of asking you what to extract, it shows you what's in there. It just works on the pile. Rather relentlessly ;)
What it's not: it's not trying to replace the tools you already use. It sits upstream and feeds them clean data. And it doesn't invent numbers. Every field traces back to the source document you uploaded. We went out of our way to make it un-magical on purpose: you can always see where a number came from. From dropping a document to getting clean, ready-to-use data, it's literally drag, click OK, click to review.
We'd love the brutal version of your feedback, especially: what would you throw at it to try and break it? Drop your ugliest receipt scenario below.
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About untxt. on Product Hunt
“The shoebox of receipts, auto-sorted into clean data.”
untxt. was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #125 on the daily leaderboard. untxt. auto-turns messy receipts, invoices, bills, scans, phone photos, and PDFs into reviewable bookkeeping data: the cleanup before the books. Zero setup. Zero rules. Zero training.
untxt. was featured in Productivity (655.7k followers), Fintech (47.2k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 267.6k products, making this a competitive space to launch in.
Who hunted untxt.?
untxt. was hunted by Sebastian Gross. 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 untxt. stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sebastian Gross
Hey PH, Sebastian here, one half of untxt (Ben's the other).
I started this because I was asked to digitize a bookkeeping firm, and I quickly realized their productivity issues were relatively small compared to the real bottleneck: hand-typing receipts, invoices and every other document, simply because the error rate on existing automation tools was high while trust was low.
So we built the boring thing nobody wants to: the cleanup before the books. You throw in the messy receipts, invoices, bills, phone photos, PDFs, and untxt turns it into clean, sorted, reviewable data. No setup, no rules to configure, no model to train. We built it in reverse: instead of asking you what to extract, it shows you what's in there. It just works on the pile. Rather relentlessly ;)
What it's not: it's not trying to replace the tools you already use. It sits upstream and feeds them clean data. And it doesn't invent numbers. Every field traces back to the source document you uploaded. We went out of our way to make it un-magical on purpose: you can always see where a number came from. From dropping a document to getting clean, ready-to-use data, it's literally drag, click OK, click to review.
We'd love the brutal version of your feedback, especially: what would you throw at it to try and break it? Drop your ugliest receipt scenario below.