Turn messy files into actionable data. Upload PDFs, images, audio and websites. Define data points for AI-powered extraction. See results in exportable spreadsheets with linked, highlighted sources. Ask questions, plot charts and draft reports on top.
👋 Hey Product Hunt community!
We're excited to share something we've been working on at Sinaptik (YC W24). After creating pandas-ai (chat with your tables), we've had countless conversations with data analysts and business experts about their daily struggles.
These chats revealed some common frustrations:
1. Valuable insights buried in messy, hard-to-read files
2. The headache of managing documents with different permission settings
3. RAG chatbots that seemed promising but ended up being costly data dumps
4. And the ever-present challenge of bridging the gap between business experts and developers
These weren't just abstract problems - we saw how they affected real people trying to do their jobs efficiently. So, we rolled up our sleeves and got to work. We talked to analysts, data scientists, and business users to understand their needs.
The result is panda{·}etl, a tool we hope will make life easier for anyone dealing with document-heavy workflows. With panda{·}etl, you can:
1. Upload those tricky files (you know, the PDFs, images, and audio files that usually cause headaches)
2. Define exactly what data you need (whether it's ESG metrics, competitors data, market trends, risk engineering reports, insurance claims)
3. Get spreadsheets where you can actually trace where each piece of data came from
4. Easily validate and export your data
5. And use our pandas-ai powered chat to explore your extractions, plot charts and add them to drafts
We've built panda{·}etl with flexibility in mind, offering solutions ranging from SaaS to On-Premise:
1. For individuals, we offer a free personal plan with limited documents processed and extractions per month. It's perfect for trying out the tool and for smaller projects.
2. For businesses, we have scalable plans that grow with your needs, files size and amount of docs.
3. For enterprises, we provide custom solutions, including on-premise deployments for those with specific security or compliance requirements.
We're still learning and improving, and that's why we're here. We'd love to hear your thoughts, experiences, or even your data horror stories. How do you deal with unstructured data in your work? What solutions have you tried?
Let's chat - we're genuinely curious to learn from this community! 🙌
