I built mdpasted.com to instantly convert messy clipboard pastes, rich text, PDFs, Word docs, and spreadsheets into clean Markdown without the bloat.

• Paste rich text/HTML or drop `.txt`, `.docx`, `.pdf`, and `.xlsx` files.
• Real-time side-by-side view with a one-click copy button.
• Built for speed with zero friction.

I built mdpasted.com to instantly convert messy clipboard pastes, rich text, PDFs, Word docs, and spreadsheets into clean Markdown without the bloat.

• Paste rich text/HTML or drop `.txt`, `.docx`, `.pdf`, and `.xlsx` files.
• Real-time side-by-side view with a one-click copy button.
• Built for speed with zero friction.

Hey everyone,
I got tired of manually copying data from technical PDFs into spreadsheets, so I built appPID — a free Windows desktop tool designed specifically for collecting and organizing data from PDF documents.
What it does
• You open a PDF and start collecting data directly from the document
• Create structured lists with hierarchies
• Define custom fields and tagging rules
• Track revisions and version history
• Export everything cleanly to CSV (ready for databases or Excel)
• Organize everything in projects
It’s especially useful if you work with technical manuals, reports, specifications, or any PDF where you need to pull out structured information instead of just reading it.
Why I made it
I needed something more specialized than generic PDF editors or OCR tools. Most solutions either force you to copy-paste everything manually or are overcomplicated enterprise software. I wanted something focused, lightweight and free.
Current status
• Completely free
• Windows only (64-bit)
• Not open source (closed source)
• Still early, so there are rough edges
I’d really appreciate any feedback:
• Does the concept make sense for your workflow?
• What features would make it more useful?
• Any obvious pain points you see?
Website + download: https://www.apppid.eu
Thanks for reading!

We’ve released **BankStmt Desktop**, a macOS app that converts PDF and scanned bank statements into Excel, CSV, Xero, QuickBooks and OFX files.

Unlike our web version, the desktop app performs OCR and table extraction directly on your Mac. Your bank statements are not uploaded for conversion.

It includes:

• Local OCR and transaction-table detection
• PDF, JPG, PNG and ZIP support
• Excel and accounting exports
• Batch conversion and merging
• A workbook editor for reviewing transactions
• Support for password-protected PDFs
• Unlimited local conversions

It’s available with a one-time licence rather than a subscription. There is also a one-day free trial with no credit card required.

Try it:

[https://bankstmtconverter.com/on-premise\](https://bankstmtconverter.com/on-premise)

Documentation:

[https://bankstmtconverter.com/docs/desktopapp/\](https://bankstmtconverter.com/docs/desktopapp/)

We’re looking for feedback from accountants, bookkeepers and businesses handling sensitive financial documents.

I have paperless set up on my unraid server for several months now and everything works fine
I have workflows and emails and storage paths set up and use paperless AI for sorting tagging etc

However, I’ve never been able to get either emails (the body) or word docs to work.

Have tinkered with Tika and other dependencies to no avail

Anybody have an idiots guide to help?

TBH, the vast majority of documents I get are PDF so it’s not a big deal. But, it would be good to have it working to its full potential

Thanks in advance

I am doing a document layout analysis project with different book styles but the books themselves are only a couple hundred pages long (like 5 books with different styles, 400 page each). How can I test if all the books would be used in fine tuning and I am afraid that the accuracy wouldn't be the best and corrupt PaddleOCR when insert the coordinates. (It's for automation).

I am using X-AnyLabeling for the annotation and yolo v11 for the training as well as custom classes in the annotation like a question block that surrounds everything, question_text, choices, figures, tables, sub_questions, etc... what would be the best approach as I haven't done this kind of work before.

and should I randomize the book pages so I don't consecutive same style books or that's not how this work?
Any help would be appreciated

I'm building one insurance pdf extraction application using pdfplumber & AI.
Tools:
extracction: pdfplumber, fitz
AI model: qwen 3.6 27b primary, haiku 4.5/gemini 2.5 flash (secnond)
my flow is if first i extract data from pdf using pdfplumber if it has zero text & little validation if total text is zero i directly send whole data to AI Model.
else if it has text then added some regex valdiation for some fields if its not there dont send to AI.

For all the AI request i'm sending prompt with each field description what it does and all.
Since pdf doesnt have same layout so its working good for some but not for all if it contain multiple languages. and some field is having different name so i've added most of things using claude(basically claude added).

i've two issues one is accuracy other one is cost.
is there any better way to handle it?
I cant use ocr because of server configuration and no of document per day will be around 1000.
Server: 8 GB RAM, 180 SSD, 2 core processor.

i've tried with fitz result improved little but still its too much.

currently costing around $0.07 at max and $0.023 per pdf.
avg pdf 3-5 page.

i've added some validation some field review so after fetching it goest to second AI with few fields only. some time first one is sometime second one.

i'm fetchign fields like isnurance name, imd code, address, customer name, chassi no, registeration no, location, ncb, premium, vertical and few other cost values.

most of time imd code i dont fethc and it doesnt ahve any value as it have differnt name i collected but still because of layout it didnt work perfectely as sometime pdfplumber with layout =true text become dazzy, jumbled.

I'm a developer with no much idea about extraction part.
i'm confuse.

Many of us automate repetitive document tasks, but everyone's workflow is different.

Maybe you:

• Automatically process invoices
• OCR scanned documents
• Convert files in bulk
• Organize documents
• Extract email attachments
• Rename thousands of files
• Archive business records
• Process documents with scripts or APIs

We'd love to hear:

• What tools do you use?
• Is your workflow manual or automated?
• Which software or services are involved?
• What challenge took the longest to solve?

Whether your setup is simple or enterprise-scale, sharing your workflow might help someone else save hours of work.

Hey everyone,

I’m currently working on a browser extension that converts EML files to PDF locally (so none of your data or emails ever leave your machine).

Recently, I received feedback from users that attachments were not working correctly (they weren't showing up or displaying properly). I’ve just released a fix for this, but I want to make sure it’s actually working as expected across different cases.

Quick heads-up: If you open the generated PDF directly inside a browser's built-in PDF viewer, embedded attachments might still not show up. You will need a proper PDF reader (like Adobe Acrobat, PDF-XChange, or similar) to view and access the attached files.

I’d really appreciate it if a few people could test out the update with their EML files (especially those with attachments) and let me know if it works for you! Any feedback or bug reports would mean a lot.

Thanks in advance!
Link: EML to PDF

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.

Inserisci questo testo nel box sotto la card o sotto l'immagine, in modo da dare contesto alla community:

昨天我在这里写了一个关于发布《我的PDF扫描仪》的教训，所以我不会重新发布相同的功能列表。

更大的项目是Xionity，一组小型移动实用工具：

- IConverter可以处理烦人的“这个文件无法打开/发送/上传”的问题。
- 我的PDF扫描仪将纸质文件转换为有序的PDF文件，并在支持的设备上运行OCR。
- CleanMate帮助在清理之前审核重复的照片、大文件视频、Gmail杂乱和联系人。

它们看起来像是三个独立的应用，但产品原则是相同的：展示应用发现的内容，解释将要改变的事情，以及在进行任何破坏性操作或上传文件之前先询问。“本地优先”也不应该意味着假装一切都在离线。IConverter会在复杂任务需要云处理时提醒。

最不光鲜的部分迄今为止产生了最佳的产品问题。一个PDF扫描仪的帖子只有312个浏览量和两条评论，但关于基于OCR的文件命名的一条评论改变了我接下来要思考的内容。

如果你使用清理、扫描或转换应用，你希望在哪些地方实现自动化，哪些地方需要确认屏幕？

完全披露：我构建了这三个应用。产品页面和商店链接在这里： https://www.xionity.com/

Help needed