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CapeChat - Keep sensitive data private while still using ChatGPT | Product Hunt

 1 year ago
source link: https://www.producthunt.com/posts/capechat
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CapeChat

Keep sensitive data private while still using ChatGPT

Free Options
CapeChat automatically encrypts your documents and redacts any sensitive data. It’s powered by the ChatGPT API, so you get the best language model while preserving your privacy.
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Hello Product Hunt! 🚀

We built CapeChat so you can chat privately and securely with your documents. CapeChat automatically encrypts your data and redacts any sensitive details. It’s powered by the ChatGPT API, so you get the best language model while preserving your privacy.

CapeChat is fully self-serve, free to use, and available today!

Here’s what you can accomplish with CapeChat: ✅ Upload sensitive documents like contracts, financials, and meeting notes. ✅ Ask questions, summarize, calculate or anything else you can think of. ✅ Transform messy documents into organized, structured data. ✅ Upload and prompt across multiple documents.

👉 Try it now: https://chat.capeprivacy.com/ 👥 Join our Discord: https://discord.com/invite/nQW7Y...

We can’t wait to hear your feedback and suggestions!

P.S. You can also build your own secure, private products powered by GPT-4 with the CapeChat API!

@gavinuhma This sounds great and what people are looking for, but I have many questions:

At what point are the documents encrypted? Where are the documents stored? Is redaction done before or after encryption? What encryption is being used? Are you using embeddings with OpenAI to query the documents? Are the embeddings encrypted? If so, how did you manage to do this and get it to work with OpenAI?

How do I get access to the API?

@mark_craddock Great questions! I’ll answer each one.

- Documents are uploaded over TLS and processed in an AWS Nitro Enclave. - Documents are then client-side encrypted and stored in RDS. - Envelope encryption is used: AES 256 for the data and RSA 4096 for the data key. - We use a local embeddings model and vector storage/search (FAISS) which also runs in a Nitro Enclave. - The final prompts are de-identified of PII, PHI, and PCI before being processed by the ChatGPT API.

As for API access, join our discord or send me an email and I’ll get you setup! Or I can let you know when the self serve api onboarding is released soon

@gavinuhma amazing and much needed - what kind of latency does this introduce?
@edsim Thank you!! We've kept the latency very minimal relative to the ChatGPT API, so it should feel about the same. This was a lot of work so appreciate the question! :)
I'm intrigued by CapeChat. Its ability to preserve privacy, ability to summarize documents, ability to transform messy documents into structured data amazes me. What inspired you to create the tool?

@adetokunbo_abiola Great question! While using ChatGPT and other tools we really wanted to upload documents that really matter, like personal financial data, contracts, meeting notes etc. We believe our most important problems require our most important data. We hope CapeChat helps here!

Thank you for the support!

Cape looks amazing! With the rise in generative AI, I'm happy to know that there will be ways to maintain privacy while still getting the benefit of an LLM.

I am curious, what document types do you support exactly?

@jevon Surprised no one asked that yet! We support PDF, Word, Excel, PowerPoint, CSV, Text, and Markdown.

Moving forward we are even adding speech-to-text, and image-to-text, so you can add context from a bunch of different media types.

Thanks for the support!!

Hey CapeChat team! 🚀

The combination of private and secure chat with document encryption sounds like a dream come true for anyone concerned about data privacy. And being powered by the ChatGPT API ensures top-notch language capabilities without compromising confidentiality.

Excited to give CapeChat a spin and experience the power of secure communication!


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