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Zynex
Personal finance app — expense & money tracker powered by AI
11 followers
Personal finance app — expense & money tracker powered by AI
11 followers
Meet Zynex — the personal finance app that turns your words, photos and notes into structured, organized entries 💳 YOUR WHOLE FINANCIAL LIFE, ONE SCREEN ⚡ QUICK ADD, YOUR WAY Just describe it your way — type a note, say it out loud, or snap a receipt. AI captures it instantly and turns it into a clean transaction 🤖 YOUR ASSISTANT Not a charts-and-figures person? Ask in your own words and let your assistant make sense of it for you 👉 Take control of your money — download Zynex today
How well does it handle messy handwriting or partial receipts, like if the photo is blurry or cut off? Wondering how forgiving the AI parsing actually is in real use.
@mertcan_go90096 Great question — it's optimized for exactly that: real life, on the move, no time to line up the perfect shot. Handwriting works too. There's a learning layer underneath that keeps sharpening accuracy the more you use it. And when the extraction isn't quite right, every field — amount, merchant, category, date, account — is editable in a tap before you save. So even a bad photo gets you most of the way there; you just fix the last bit instead of typing it all from scratch.
Does the AI actually pull transactions from my bank accounts too, or is everything manual through the voice and photo entries?
@englsz56 Right now everything is manual — the AI just speeds up that entry. Automatic bank sync via API isn't planned for the near future. Bulk upload via a bank statement or file is a feature I plan to add later on.
how does the AI handle voice notes when you're offline or in a noisy spot
@nazife178194 The voice recording itself is captured on your device, but the audio is processed on our backend — that's why an active internet connection is required for the AI to handle a voice note. Offline, the recording can't be processed. As for noise: the voice handling works remarkably well even in noisy environments. You can use it next to a busy road, on public transport, or in crowded places and it still transcribes cleanly and reliably — background noise doesn't get in the way of accurate parsing.