Hey Reddit community,
I'm excited to share something that we've been working on tirelessly - EvaInvoice. It's a tool we believe is going to significantly streamline the way individuals and businesses handle invoice processing. And guess what? Our MVP (Minimum Viable Product) version is now live for you to try!
What is EvaInvoice?
EvaInvoice is an intuitive web application designed to make invoice data extraction simple, fast, and accurate. Whether you're dealing with digital or scanned document invoices, EvaInvoice's sophisticated OCR technology and extraction algorithms work seamlessly to provide you with accurate data in your preferred format (JSON, Excel, or CSV).
Why are we excited about it?
No more manual data entry: Say goodbye to the tedious and error-prone process of typing out invoice details.
OCR for scanned documents: Even your paper invoices aren't a problem for us.User-friendly: We’ve designed it to be easy for anyone to use.
MVP stage: This means we're actively looking for feedback to make EvaInvoice even better.
We Need Your Input!
Since we're in the MVP stage, your feedback is gold for us. This helps us gather diverse insights into how EvaInvoice is used in different scenarios. And yes, we're already working on some exciting features for the post-launch phase!
Join Us on This Journey
We're inviting the Reddit community to be part of our growth. Try out EvaInvoice, put it to the test, and let us know what you think. Whether it’s a feature request, a bug you’ve spotted, or any general feedback, we’re all ears.
Check it out here: https://www.evainvoice.com
Looking forward to your feedback and suggestions!
The best tool that everyone is eager for would let users upload as many documents as they want, ask questions about them, and the AI would nail the answers, pulling out all the relevant bits from those documents. That's my goal that I want to build (when I have time) in parallel with my current solution YourDocGPT.com which supports one document at a time but gives outstanding results based on current user feedback.
I have developed an algorithm that when combined with the ChatGPT API, yields very accurate results. The primary challenge with handling multiple documents is the API's maximum token limit. So, what I'm thinking is, when a user requests information from, say, 100 documents, the system should focus on the most relevant documents (for example, the top 5) and extract the most pertinent information from those five. This approach will require extensive tweaking and testing. However, users who need information from all 100 documents in a single response may find this limitation unsatisfactory.