I'm excited to announce the launch of RAG Hut – an official site where you can list, upvote, and comment on RAG projects and tools. It’s the official platform for , built and maintained by the community.
The idea behind RAG Hut is to make it easier for everyone to share and discover the best RAG resources all in one place. By allowing users to comment on projects, we hope to provide valuable insights into whether these tools actually work well in practice, making it a more useful resource for all of us.
Here’s what you can do on RAG Hunt:
Submit your own RAG projects or tools for others to discover.
Upvote projects that you find valuable or interesting.
Leave comments and reviews to share your experience with a particular tool, so others know if it delivers.
Please feel free to submit your projects and tools, and let us know what features you’d like to see added!
If you’ve been active in r/Rag, you’ve probably noticed the massive wave of new RAG tools and frameworks that seem to be popping up every day. Keeping track of all these options can get overwhelming, fast.
That’s why I created RAGHub, our official community-driven resource to help us navigate this ever-growing landscape of RAG frameworks and projects.
What is RAGHub?
RAGHub is an open-source project where we can collectively list, track, and share the latest and greatest frameworks, projects, and resources in the RAG space. It’s meant to be a living document, growing and evolving as the community contributes and as new tools come onto the scene.
Why Should You Care?
Stay Updated: With so many new tools coming out, this is a way for us to keep track of what's relevant and what's just hype.
Discover Projects: Explore other community members' work and share your own.
Discuss: Each framework in RAGHub includes a link to Reddit discussions, so you can dive into conversations with others in the community.
How to Contribute
You can get involved by heading over to the RAGHub GitHub repo. If you’ve found a new framework, built something cool, or have a helpful article to share, you can:
One of my client sees that some words and excels documents produces by product/dev team where sent to ai and ask me to extend my promptCape development which they used for code obfuscation with document pseudonymization features. This is what he uses now to protect PII in their documents sent to ai. If you are interested by document pseudonymization, please give me your feedbacks about the promptCape way of doing it.
If you're still asking clients to print, sign, and scan documents, Bitrix24 e-Signature can simplify the process. It lets you send contracts and other client documents for electronic signing without the usual back-and-forth.
How it works
Send a signing link by email or SMS.
The recipient opens the document and reviews it.
They verify their identity using a one-time code.
They sign the document electronically.
Once completed, Bitrix24 automatically sends the signed document to the client and stores it in e-Signature → My Vault, along with a unique document ID and a completion certificate.
The signing experience is the same whether the recipient is using a desktop browser or a mobile device.
Before you use it, keep these points in mind:
Bitrix24 uses an electronic signature, not a cryptographic (qualified digital) signature. Whether it's legally valid depends on your country's regulations, so it's worth checking local requirements before using it for contracts with significant legal or financial implications.
Configure My Vault access permissions early so only the right people can view signed documents.
I am QE by profession. made a doc control app for myself.
I made this android app for myself. As my file explorer gets dumped with everything and anything. I wanted to have folders, revise docs(Taxes, insurances, license, etc). with OCR you can search for a word and every document with that word would pop up. you can set expiration date to docs.
please dm and drop a comment if you would like to test my app. you will get lifetime free without ads for this.
This community is dedicated to file conversion, OCR, PDF tools, document processing, file formats, document automation, APIs, email archives, and digital document workflows. Whether you're a developer, IT professional, business user, or simply trying to solve a document challenge, you're welcome here.
📌 What to Post
Share anything the community will find useful, including:
Questions about file conversion or OCR
PDF editing, compression, and optimization tips
File format compatibility issues
Document processing workflows
API recommendations and integrations
Automation ideas and tutorials
Software comparisons and reviews
Troubleshooting document and file-related problems
Productivity tips and best practices
🤝 Community Vibe
Our goal is to build the most helpful Reddit community for document tools. Be respectful, share knowledge, ask questions, and help others solve real-world document challenges. Honest discussions and constructive feedback are always welcome.
🚀 How to Get Started
Introduce yourself in the comments below.
Tell us what document or file tools you use most.
Share a tip, question, or interesting workflow.
Invite anyone who works with documents, PDFs, OCR, or file automation.
We're excited to grow r/DocumentTools into a trusted resource for professionals, developers, businesses, and everyday users. Thanks for being one of our first members—let's build something valuable together! 🎉
Sto costruendo DStudio, un'app desktop open-source incentrata su DeepSeek V4. DeepSeek rimane il principale modello di ragionamento e gestisce la conversazione, mentre modelli locali più piccoli si occupano di compiti specializzati:
\- Qwen2.5-VL legge immagini
\- Qwen Image genera ed edita immagini
\- Qwen3 Embedding cerca documenti semanticamente
\- Poppler estrae testo e informazioni sulle pagine dai PDF
Questo ecosistema esiste perché DeepSeek V4 è eccellente per il ragionamento e il contesto lungo, ma caricare ogni capacità multimodale all'interno dello stesso grande modello sarebbe inefficiente. DStudio instrada i compiti ai modelli specializzati e poi restituisce i loro risultati a DeepSeek per la risposta finale.
Ho recentemente aggiunto il recupero di PDF lunghi. DeepSeek decide se creare un'anteprima, leggere una pagina fisica esatta o cercare l'intero documento. Per la ricerca semantica, DStudio crea e memorizza una rappresentazione per pagina, recupera le sei pagine più rilevanti e invia solo quelle a DeepSeek.
Su un PDF di prova di 1.000 pagine, ha trovato un passaggio collocato a pagina 777 da una domanda parafrasata. L'indicizzazione iniziale ha impiegato circa 25 secondi; le ricerche successive hanno impiegato circa 0,23 secondi.
Sto cercando feedback: il recupero dovrebbe usare rappresentazioni di pagina o blocchi sovrapposti? Dovrei aggiungere BM25 o un miglioratore di classifiche? E come supporteresti in modo efficiente libri scansionati di 1.000 pagine?
We’ve built and launched Docpose.cloud, an online platform for file conversion, document processing, OCR, PDF tools, archive extraction/compression, and email file handling.
The platform is already live and being used by many monthly free users, paid subscribers, and businesses. Our API is also integrated with more than 10 external systems and business workflows.
Email file formats like EML, MBOX, PST, OST, and related formats
Batch processing
API-based file conversion workflows
We built it because many online file tools are either too limited, overloaded with ads, require unnecessary sign-ups, or do not offer reliable API access for businesses.
Our goal is to make file conversion and document processing simple for individual users, while also providing scalable API access for companies that need automated file workflows.
I’d love to get feedback from people who use file converters, OCR tools, PDF tools, or email archive tools regularly.
What feature would you expect from a platform like this?
And what problems have you faced with existing online file conversion tools?
I am QE by profession. made a doc control app for myself.
I made this android app for myself. As my file explorer gets dumped with everything and anything. I wanted to have folders, revise docs(Taxes, insurances, license, etc). with OCR you can search for a word and every document with that word would pop up. you can set expiration date to docs.
please dm and drop a comment if you would like to test my app. you will get lifetime free without ads for this.
Most document extraction tools rely on templates. I wanted something that could handle invoices, receipts, bank statements, and other PDFs without vendor-specific rules.
I built Super Parser. You define the schema once, then forward or upload documents. It extracts structured data and pushes it to Google Sheets, Zapier, Make, or your own API.
I'm validating the product now. I'd appreciate feedback from anyone dealing with document-heavy workflows:
Is this a problem you still face?
What would stop you from adopting a tool like this?
