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SlipRead

Extract any payslip or bank statement PDF in 10 seconds

Extract structured data from any payslip or bank statement PDFSlipRead uses AI to extract every field from payslip and bank statement PDFs instantly. Drop in any PDF — any bank, company, or language — and get clean structured data as JSON, CSV, or plain text. Translate field labels to English with one click. Files are deleted immediately after processing. 5 free extractions/month, no credit card required. Pro plan: $9/month for unlimited.

Top comment

Hey PH! 👋 I built SlipRead after spending too many hours manually copying payslip fields into spreadsheets. The frustrating part wasn't the math — it was retyping data that was already sitting right there in a PDF. SlipRead fixes that: drop in any payslip or bank statement → AI extracts every field in ~10 seconds → download as JSON, CSV, or plain text. It works across languages too (I needed it specifically for Japanese payslips), and you can translate all labels to English with one click. 5 free extractions/month to start, no credit card needed. Would love feedback on edge cases — what payslip formats should I test next?

About SlipRead on Product Hunt

Extract any payslip or bank statement PDF in 10 seconds

SlipRead was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #8 on the daily leaderboard. Extract structured data from any payslip or bank statement PDFSlipRead uses AI to extract every field from payslip and bank statement PDFs instantly. Drop in any PDF — any bank, company, or language — and get clean structured data as JSON, CSV, or plain text. Translate field labels to English with one click. Files are deleted immediately after processing. 5 free extractions/month, no credit card required. Pro plan: $9/month for unlimited.

On the analytics side, SlipRead competes within Productivity, Artificial Intelligence and Human Resources — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how SlipRead performed against the three products that launched closest to it on the same day.

Who hunted SlipRead?

SlipRead was hunted by Oussama Ladhari. 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 SlipRead including community comment highlights and product details, visit the product overview.