Show HN - tool that converts image receipts to Excel

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Hey I'm excited to share my first project, Receipts2CSV, a web application designed to simplify bookkeeping by converting receipt images into CSV files. https://receipts2csv.streamlit.app/ Problem Statement: Keeping track of expenses and managing receipts can be a tedious task, especially for small businesses and freelancers. Traditional methods involve manually entering data from receipts into spreadsheets, which is time-consuming and prone to errors. With Receipts2CSV, users can streamline this process by simply uploading images of their receipts and obtaining structured CSV files ready for import into accounting software. If you are lazy like I am, you could accumulate receipts in just one folder and re-run all images every time, remove duplicates and merge with older CSV to minimize looking through receipts on a monthly/annual basis. Questions for Validation: Do you find a receipt image to CSV converter useful? Would you consider using such a tool for your bookkeeping needs? Considering higher costs for AI models like GPT-4 Vision Preview, how are other indie hackers able to create and sustain offering free products like these? Do small products like these have a monetization market? If so, where do I begin? Curious to hear your candid thoughts about this web app. Should I explore it further or move to the next idea? Feel free to share your thoughts, suggestions, or any additional features you'd like to see in the product! Thank you for your valuable input and support!

Visit product View on Hacker NewsFeb 17, 2024

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: month, monthly, users · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: model, user, models · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, ide · Missing: https docs, just released, exist

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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