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.
@daniel_bukac thanks a lot for the feedback! We are going to focus more and more on a no code ux, adding more and more pipelines from the community. In theory the goal is that no matter your technical expertise, everyone can run pipelines on panda etl!
Hey Giuseppe,
How does panda{·}etl handle different languages or document formats that might have inconsistent layouts?
For the on-premise deployments, what kind of setup and maintenance is typically required?
Congrats on the launch!
@kyrylosilin we have built our parser that is able to split each pages in one or multiple areas and apply the best techniques to parse the data accordingly!
As of the on-prem, it depends a lot on the specific use case. It can be as easy as a docker container for easy use cases, while more complex architectures (terraform, kubernetes, etc) might be needed based on the volumes!
If you have any questions about it, drop a message anytime!
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Read in one of the comments that u offer an API… I run a copier dealership with 100s of copier scanners that produce 1000s of PDFs, pretty sure our clients (banks, insurance cos, BPOs, car dealerships, hospitals, etc) would find it useful. How can we get in touch?
@jose_quan1 on our website there is a form where you can book a call
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I've tried a few RAG enabled tools, but none of them seem to be effective. Will try this out - looks very promising. I like how it's open source, free (with a limit) and how you can create workflows to automate file processing. Would be cool to see how others are handling files - if they want to share workflows they built!
Congrats on the launch @gdc and team!
@tonyhanded thanks a lot, can’t wait to hear your thoughts 🚀
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Congrats on the launch @gdc! I'm really looking forward to trying this.
Working with several clients in the past years, I can see how much value they could get from more open access to data! 👏
@aepasahan thanks a lot, really looking forward to hearing your thoughts!
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This is really interesting, I think the summary of the 4 main issue is exactly it with data scientist/analyst. Especially permission setting, it took us a week to just pass out the right credential and permission for different database access. I've checked out your pricing and I was not too sure how much the 500 credits are going to get me through, if it was in terms of number of files, or sizes of files altogether, how much would you say that is ? Again, congratulation Giuseppe !
@daniel_xpo the pricing is based on characters or pages, whichever is low. The free plan includes at least 1000 pages per month. Thanks a lot for the great feedback. Looking forward to hear more if you give it a try!
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Congrats on launching Panda ETL! 🎉The idea of building ETLs without coding sounds like it could save me hours of work each week. By the way, I'm curious about how it handles really large datasets. Does it have any limitations on data volume or processing speed?
@sawana_h I swear this is only the beginning, stay tuned, we are planning to disrupt the way people do ETLs! It handles large datasets very well, but at the moment it parallelizes up to 3 processes at a time. We're working hard to scale it soon tho!
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@qdc, congrats on the new product, mate.
panda{·}etl looks super promising, curious to see how it would evolve in the data handling space.
@abhaytalreja thanks a lot, we’ll keep pushing to make it better and support more and more data pipelines 🚀
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@gdc Congratulations on the launch! Your platform’s ability to turn various file types into actionable data and highlight sources is impressive. At InterWiz, we're revolutionizing the hiring process with on-demand AI-powered interviews and instant evaluations, ensuring top talent is swiftly identified and onboarded. How do you plan to enhance data point definition for more precise AI-powered extraction?
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@gabriele_venturi Thanks for the conversation and for sharing your insights! Incase if you have not follow InterWiz, hover over my coming soon badge and click ‘notify me’. We would love your support and feedback when we launch.
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