📄 Effortless data extraction from your PDF invoices, quotes, and more 💬 Just type the fields you need 👌🏼 Get all your line items and tables in a neatly structured format 👀 Powered by computer vision + LLM, outperforming standard OCR systems
Hi Hunters!
I’m Jules, cofounder at Koncile.ai 🚀
Koncile is a fully customizable OCR that combines computer vision with LLMs to extract custom data from your PDFs.
The tool is specifically designed for invoices, quotes, purchase orders, or any document containing recurring line items or tables.
When we started this project, I was searching for an OCR that could accurately extract line items. I tested over 40 off-the-shelf solutions on the market, but I was consistently disappointed by the results:
❎ Inaccurate data due to multiple errors
❎ Poor table extraction
❎ No way to create custom fields (I wanted to consistently capture those EANs)
So, we built Koncile Extract to deliver stellar extraction results ✨ and complete customization 🖊️.
Our secret sauce? We leverage the power of open-source computer vision models—great for recognizing characters—paired with LLMs’ vision input, which excels at understanding layouts and classifying data.
The process is ultra-simple:
1️⃣ Create your extraction schema or start with one of our 100+ templates
2️⃣ Test it on a sample file
3️⃣ Download the data in Excel format or integrate it via our API
We’re offering a free 30-day trial account, so you can give it a try:
https://app.koncile.ai/auth/regi...
Really helpful for companies and we always need to extract items for reconciliation. Can this be integrated with other SaaS platforms as well?
Congrats, Jules and the Koncile team! 🎉 Koncile sounds like a fantastic solution for anyone dealing with detailed document data extraction, especially those tricky line items in invoices and purchase orders. Love how it combines OCR and LLMs for more accurate, customizable results—especially for fields like EANs!
Congrats on the launch! 🎉 This OCR tool looks amazing. How do you handle multi-page docs with varying layouts?
Congrats on the launch!
I find that the accuracy of OCR in my daily use is quite good, and I haven't encountered many significant issues.
What are the advantages of LLM-driven OCR? Also, does it slow down compared to traditional solutions, and will ti be more expensive?
