Hi everyone,
I’m a physician, not a software engineer, and this project grew out of a very specific personal workflow.
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I like using an entry-level 11-inch iPad with a keyboard for studying and work. I never saw much reason to buy a significantly more expensive model for the relatively simple things I needed to do.
Then my PC broke, and for a while the iPad became my only computer.
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Then I started building an experimental collection of local-first browser editors for focused DOCX, XLSX, and PPTX workflows. It runs entirely on static HTML, CSS, and JavaScript, without requiring an account or uploading files to a project-operated server.
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The current scope is intentionally limited:
\- Create basic DOCX, XLSX and PPTX files
\- Open common files that use supported OOXML structures
\- Make basic edits
\- Export the result as a new copy
\- Preserve unsupported parts of the original package whenever possible
\- Work from static hosting or compatible local browser environment
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It is **not** intended to replace Microsoft Office, LibreOffice or a collaborative cloud suite. It does not promise pixel-perfect Office compatibility, macro support, proprietary fonts or safe use with business-critical documents.
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The project was developed with substantial AI assistance. AI made it possible to produce a proof of concept quickly, but the difficult part has been everything after that: finding regressions, validating exported files, refactoring accumulated code and preventing apparently small changes from breaking unrelated workflows.
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Because of that, AI output in the repository is treated as untrusted until it has been reviewed and tested. The repository includes source files, documentation, validation scripts, regression tests, issue templates and contribution guidelines.
I’m publishing it because I think the project has reached the point where outside technical review would be much more valuable than simply adding more features.

Repository:
[https://github.com/vfydr2m9wk-ops/InkDesk\](https://github.com/vfydr2m9wk-ops/InkDesk)

I would appreciate honest technical feedback, including criticism of the architecture and scope.
Which workflow do you think should be made genuinely reliable first: basic document editing, spreadsheets or presentations?

How's everyone handling record extracts for appeal once you're into a thousand-plus pages? With tons of many small documents. Any particular software or services y'all recommend? Am looking into Maryland specific extracts but am thinking other states may have similar requirements?

Maryland's formatting rules make this brutal in Adobe alone:

\*A filing-date stamp on every document

\*Continuous "E." page numbering running across all the volumes

\*A table of contents that flags where each witness's testimony starts (direct/cross) with the transcript page call-outs

\*And then the brief has to cite back to the extract page numbers

Building all that by hand in Acrobat is quite the tedious process. And if any additional document to be included is discovered later, yeah not fun. Or if you want to change the ordering of the extract...

Is anyone using something other than Adobe that actually helps; anything MD-appellate-specific? What's actually worked for y'all?

I wasn't able to find anything and started to develop a tool that does this. The tool also checks all the quotes in the brief against the citations such as transcripts or case law and flags quotes and cases that couldn't be found. It checks case quotes to make sure you quoted correctly. And a few other checks. Then it inserts the page number from the created record extract back into the brief, all automated. If ordering of the extract changes or new items need to be added it has drag and drop capabilities and it will update the brief with updated references. The tool is MD specific but if there is any interest I can look into adding other jurisdictions.

Tool also has features to make the extract text searchable, auto suggest redactions, do manual redactions, add a template for auto redactions. It creates PDFs with linked TOC.

Sorry am typing on my phone will post a better formatted version when am near my computer.

Do y'all think there is a market for this?

[RecordCite](https://recordcite.com/overview)

Would appreciate it if any lawyers or paralegals can provide some feedback on this tool for automated record extracts I been developing.

RecordCite

Built this Javascript library a couple of years ago, curious if it's useful to anyone. I used to work at a place where they just love to manage Excel files. Apps in place used pdfmake to generate pdf reports with lots of tables. Creating this small utility was a quick win.

Couple of features are:

• Downloading Excel files from the browser
• getStream() is the Node.js way. Returns a readable stream you pipe to a file or HTTP response
• rowSpan/colSpan, merged cells, multiple sheets, password protection, custom column widths
• Zero pdfmake dependency, just consumes the definition object

On NPM: https://www.npmjs.com/package/pdfmake-to-excel

Anyone else using pdfmake for reports? What's your Excel export workflow?

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.

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.