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VadeKit
Offline OCR, spreadsheets, SQL, reports and more - no cloud
Most OCR and "PDF-to-Excel" tools are web apps, your documents go to someone's server. VadeKit runs the whole pipeline on your machine. Drop a scanned PDF: on-device OCR extracts the text, layout and tables. Each table opens as a spreadsheet with formulas. Query across files with an offline SQL engine, chart it, and export a PDF report. more than 30 tools. no uploads. One toolkit, organised by task not by the library that powers it. No AI APIs. One-time purchase; Windows, macOS, Linux.
A while back I kept hitting the same wall: a pile of scanned invoices and reports to turn into spreadsheets, and every decent OCR or "PDF to Excel" tool wanted me to upload the files to their server first. For documents with names, addresses and financial figures on them, that never sat right.
So the workflow became one site for OCR, another for splitting PDFs, a desktop app for the spreadsheet, something else for the chart - ten tabs to do one task.
VadeKit is my attempt at collapsing that into a single local app. You tell it what you want ("extract tables & insights from PDF"), drop the file, and it runs the whole chain on your CPU: OCR → an editable table → SQL if you need it → a report. Nothing leaves the machine.
The hardest part was resisting the urge to bolt on an AI API for the "insights" step. I kept it as honest arithmetic - counts, shares, averages - so "runs entirely on your device" stays literally true.
One-time purchase, no subscription. Would love your feedback, especially on the first-run experience.
About VadeKit on Product Hunt
“ Offline OCR, spreadsheets, SQL, reports and more - no cloud”
VadeKit was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #104 on the daily leaderboard. Most OCR and "PDF-to-Excel" tools are web apps, your documents go to someone's server. VadeKit runs the whole pipeline on your machine. Drop a scanned PDF: on-device OCR extracts the text, layout and tables. Each table opens as a spreadsheet with formulas. Query across files with an offline SQL engine, chart it, and export a PDF report. more than 30 tools. no uploads. One toolkit, organised by task not by the library that powers it. No AI APIs. One-time purchase; Windows, macOS, Linux.
On the analytics side, VadeKit competes within Productivity, Privacy and Developer Tools — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how VadeKit performed against the three products that launched closest to it on the same day.
Who hunted VadeKit?
VadeKit was hunted by Danang Estutomoaji. 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 VadeKit including community comment highlights and product details, visit the product overview.
Danang Estutomoaji
A while back I kept hitting the same wall: a pile of scanned invoices and reports to turn into spreadsheets, and every decent OCR or "PDF to Excel" tool wanted me to upload the files to their server first. For documents with names, addresses and financial figures on them, that never sat right.
So the workflow became one site for OCR, another for splitting PDFs, a desktop app for the spreadsheet, something else for the chart - ten tabs to do one task.
VadeKit is my attempt at collapsing that into a single local app. You tell it what you want ("extract tables & insights from PDF"), drop the file, and it runs the whole chain on your CPU: OCR → an editable table → SQL if you need it → a report. Nothing leaves the machine.
The hardest part was resisting the urge to bolt on an AI API for the "insights" step. I kept it as honest arithmetic - counts, shares, averages - so "runs entirely on your device" stays literally true.
One-time purchase, no subscription. Would love your feedback, especially on the first-run experience.