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Auto-Journal
AI-powered document parser for traders, and small businesses
Auto-Journal is an AI-powered financial document parser that automatically extracts transactions from PDFs, Excel, CSV, and DOCX files. Zero manual entry. Multi-format support. Beautiful dashboard with charts, summary cards, and transaction table. One-click export as PDF or Image. Instant insights on income, expenses, P&L, win rate, and category breakdown. Built for retail traders, freelancers, small business owners, and anyone tired of manual data entry.
I built Auto-Journal because I was tired of manually copying data from trading statements, bank PDFs, and Excel files into spreadsheets. Every month, I would spend 2-3 hours just entering numbers — and I knew there had to be a better way.
I started with a simple idea: "What if AI could just read the document and extract everything?" After many iterations, Auto-Journal was born.
The journey wasn't easy — handling PDF parsing, multiple file formats, and making the AI understand different document structures took time. But the result is a tool that saves hours of manual work and provides instant financial insights.
Key features I'm most proud of:
✅ Multi-format support (PDF, Excel, CSV, DOCX, TXT)
✅ AI-powered transaction extraction
✅ Beautiful dashboard with charts
✅ One-click PDF/Image export
✅ No sign-up required for demo
I'd love to hear your feedback! What features would make this more useful for you? 👇
About Auto-Journal on Product Hunt
“AI-powered document parser for traders, and small businesses”
Auto-Journal was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #16 on the daily leaderboard. Auto-Journal is an AI-powered financial document parser that automatically extracts transactions from PDFs, Excel, CSV, and DOCX files. Zero manual entry. Multi-format support. Beautiful dashboard with charts, summary cards, and transaction table. One-click export as PDF or Image. Instant insights on income, expenses, P&L, win rate, and category breakdown. Built for retail traders, freelancers, small business owners, and anyone tired of manual data entry.
On the analytics side, Auto-Journal competes within Productivity, Fintech and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Auto-Journal performed against the three products that launched closest to it on the same day.
Who hunted Auto-Journal?
Auto-Journal was hunted by New User. 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 Auto-Journal including community comment highlights and product details, visit the product overview.
New User