Hey everyone! I'm Eric ( u/docpose-cloud-team**)**, a founding moderator of r/DocumentTools.

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! 🎉

I work in a manufacturing/warehouse environment and we receive batches of scanned packing slips as single massive PDFs. Nobody on the teams splits these and that’s why I want to automate it.

The problem:

\- PDFs are fully scanned — no embedded text, all image-based

\- Pages are landscape-rotated 90°

\- Each "document" inside the batch belongs to a specific 8-digit PO number (e.g. 20289562)

\- Some pages have no PO number at all (cover sheets, continuation pages)

\- Occasionally the same PO spans multiple consecutive pages

What I'm trying to build:

\- Script reads a folder of PDFs

\- OCRs each page and detects the PO number

\- Groups consecutive pages that share the same PO into one output PDF

\- Pages with no PO detected get flagged separately for manual review — not silently attached to another PO

\- A second script lets a human approve or reject each output file before it gets moved to the final folder

Questions:

\- What's the best way to handle rotation detection before OCR? I was thinking Tesseract OSD but open to other approaches

\- How would you handle pages with no PO — attach to the previous group, flag as unknown, or something else?

\- Any tips on making the OCR results consistent between runs? Right now borderline scans feel non-deterministic

\- Is PyMuPDF + pytesseract the right stack for this or is there something better for scanned documents?

Not a professional developer — just trying to automate something that's eating up hours of manual work every week. Any advice appreciated.

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?

[ https://github.com/sk8erboi17/DStudio ](https://github.com/sk8erboi17/DStudio)

Hey everyone,

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.

Docpose.cloud supports tools for:

• Document and file conversion
• PDF conversion and processing
• OCR for scanned documents and images
• Archive extraction and compression
• 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?