Dev tools · alternatives · 2026
24 alternatives to I built a deep research tool for local file system
I was experimenting with building a local dataset generator with deep research workflow a while back and that got me thinking. what if the same workflow could run on my own files instead of the internet. being able to query pdfs, docs or notes and get back a structured report sounded useful. so I made a small terminal tool that does exactly that. I point it to local files like pdf, docx, txt or jpg. it extracts the text, splits it into chunks, runs semantic search, builds a structure from my query, and then writes out a markdown report section by section. it feels like having a lightweight…
This is a terminal tool that transforms local files into structured research reports. Users point it at PDFs, documents, images, or text files, and the tool extracts content, performs semantic search, and generates… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...
2024 · embedding.io · its alternatives →
- 2
Hello HN, I am building Docmost, an open-source collaborative wiki and documentation software. It is an open-source alternative to Confluence and Notion. I have been working on it for the past 12 months. This is the first public release (beta). The rich-text editor has support for real-time collaboration, LaTex, inline comments, tables, and callouts to name a few. Features - Collaborative real-time editor - Spaces (Teamspace) - User permissions - Groups - Comments - Page history - Nested pages - Search - File attachments You can find screenshots of the product on the website. Website:…
2024 · github.com · its alternatives →
- 3WS
I’ve been in the MLOps space for ~10 years, and data is still the hardest unsolved open problem. Code is versioned using Git, data is stored somewhere else, and context often lives in a 3rd location like Slack or GDocs. This is why we built XetHub, a platform that enables teams to treat data like code, using Git. Unlike Git LFS, we don’t just store the files. We use content-defined chunking and Merkle Trees to dedupe against everything in history. This allows small changes in large files to be stored compactly. Read more here:…
2022 · xethub.com · its alternatives →
- 4
I got tired of open file.docx → wait 8 seconds → close Word just to read a document, so I built a terminal-native Word viewer! What it does: * View `.docx` files directly in your terminal with (mostly) proper formatting * Tables actually look like tables (with Unicode borders!) * Nested lists work correctly with indentation * Full-text search with highlighting * Copy content straight to clipboard with `c` * Export to markdown/CSV/JSON Why I made this: Working on servers over SSH, I constantly hit Word docs I needed to check quickly. The existing solutions I'm aware of either strip…
2025 · github.com · its alternatives →
- 5
Hey HN, solo dev here. After years of frustration with how LLMs handle complex documents, especially PDFs with tables, I decided to build a solution myself. My approach uses a Markdown conversion step to preserve the table structure, which seems to work surprisingly well for chunking. This little parser is the first public piece of a much larger, privacy-focused AI platform I'm building. I'm pretty much running on fumes financially, so any feedback, critique, or support is massively appreciated. Happy to answer any questions about the approach!
Nov 2025 · github.com · its alternatives →
- 6IM
Hi HN, Since 2019, I’ve been working on a writing platform designed for creating complex documents (e.g., theses). I personally use it for everything as it also allows to classify documents in categories so you can organize them efficiently. As of a few months ago, the app is also available in the browser, and you can now invite coworkers to collaborate on a document in real time. The app is somewhat inspired by LyX. It offers an intuitive, modern editor, but users don’t need to know any LaTeX. When it’s time to export, they can choose from a range of templates (IEEE paper, thesis, etc.). A…
2025 · its alternatives →
- 7
Just open-sourced a small terminal tool I’ve been working on. The idea came from wondering how useful it’d be if you could just describe the kind of dataset you need, and it would go out, do the deep research, and return something structured and usable. You give it a description, and it pulls relevant info from across the web, suggests a schema based on what it finds, and generates a clean dataset. The schema is editable, and it also adds a short explanation of what the dataset covers. In some cases, it even asks follow-up questions to make the structure more useful. Started off as a quick…
2025 · github.com · its alternatives →
- 8
Documind is an open-source tool that turns documents into structured data using AI. What it does: - Extracts specific data from PDFs based on your custom schema - Returns clean, structured JSON that's ready to use - Works with just a PDF link + your schema definition Just run npm install documind to get started.
2024 · github.com · its alternatives →
- 9
I've always thought that extensive reading was best suited for the realm of paper. As a result, I've created a command-line interface (CLI) tailored for my own use and decided to make it open source. I welcome any feedback you may have. [Edit] Sample PDF :: https://drive.google.com/file/d/1n7M1TKOptSsYiibrbvV_Yojx53T...
2024 · github.com · its alternatives →
- 10
Doing research with agents is fun until they blow way past budget, jumble the sources, and don't even give you the best possible answer, just sound confident. And if you want to run some research task on local data - you have no idea where your data ends up after the prompt consumes it. So I built this tool: a deep-research agent with an enforced budget, verified quotes, and a privacy boundary for local data. 1. Never spend more than you budgeted (measured overshoot is 0%). 2. Every claim carries a source 3. Data stays local (give a CSV, it'll analyze it without the data ever leaving your…
Aug 2026 · github.com · its alternatives →
- 11
GUI disk analyzers are great for figuring out what's filling up your laptop/desktop drive. On containers or remote servers, the options are limited to purely text based utilities (e.g. du) or list-centric TUIs (e.g. ncdu) which are usually limited to viewing one directory at a time. I created leaves to fill that gap. Inspired by classic utilities like WinDirStat and KDirStat, it uses a 2-dimensional treemap^1 visualization to show the entire directory hierarchy with proportionally sized rectangles. It's performant enough to handle millions of files, thanks to Rust and multi-threading.…
Jul 2026 · github.com · its alternatives →
- 12
Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
2024 · github.com · its alternatives →
- 13IM
2021 · sidepage.co · its alternatives →
- 14
Hi HN, We have open-sourced Voiden. Most API tools are built like platforms. They are heavy because they optimize for accounts, sync, and abstraction - not for simple, local API work. Voiden treats API tooling as files. It’s an offline-first, Git-native API tool built on Markdown, where specs, tests, and docs live together as executable Markdown in your repo. Git is the source of truth. No cloud. No syncing. No accounts. No telemetry.Just Markdown, Git, hotkeys, and your damn specs. Voiden is extensible via plugins (including gRPC and WSS). Repo:…
Feb 2026 · github.com · its alternatives →
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Hi HN. I built 1667 for my own fiction work and now use it each day. This probably has a limited audience. Maybe an audience of one... Why a terminal interface for story writing? I'm a dev. I like to use terminals for a lot of stuff. Most WebUIs feel off to me. That's the only reason. One thing that bothers me about writing in existing tools is that they don't fit the way I write. The mental model of my story is a tree. I try many takes usually continue with just one, but sometimes I want to try an alternate route and see where this goes. And that can branch again in many places. See what…
Aug 2026 · 1667.ai · its alternatives →
- 16
Contribute to aws-samples/semantic-search-aws-docs development by creating an account on GitHub.
2023 · github.com · its alternatives →
- 17
After getting frustrated with macOS's Spotlight search, e.g., typing "driver license" doesn't give me anything unless the file name matches exactly, I thought, why not index my entire Documents folder? This way, I can find that one PDF or image buried deep in subfolders using natural language queries. So I built SmartSearch; it uses SentenceTransformers for embeddings and FAISS for fast similarity search. Best of all, it runs locally on your computer. Github: https://github.com/neberej/smart-search/ Demo:…
2025 · github.com · its alternatives →
- 18
I really like using NoteBook LM, especially when I have a bunch of research papers I'm trying to extract insights from. For example, if I'm implementing a new feature (like re-ranking) into Morphik, I like to create a notebook with some papers about it, and then compare those models with each other on different benchmarks. I thought it would be cool to create a free, completely open-source version of it, so that I could use some private docs (like my journal!) and see if a NoteBook LM like system can help with that. I've found it to be insanely helpful, so I added a version of it onto the…
2025 · github.com · its alternatives →
- 19
Hi, I'm building an open-source self-hostable document extraction tool powered by LLM. There are popular data extraction tools and OCR tools in the market. None of them are open source. Most accounting firms, law firms, insurance, back office, and real-estate folks would like to use a tool like this. You can add PDF documents, Images, and audio files and create columns to answer questions on documents or extract information into tabular format. Access to repo: https://github.com/harishdeivanayagam/rowfill Screenshots:…
2025 · github.com · its alternatives →
- 20
Hi HN — I’m building Docpose.cloud (online file conversion + API). File processing is a trust problem, so I wrote a security + processing architecture page that explains exactly how files move through the system. Highlights: S3-only pipeline: workers read from object storage and write results back No permanent local disk persistence on workers Source files deleted immediately after processing Converted files expire after 24 hours by default Operational logs kept up to 30 days (metadata only, no file contents) I’m posting this because security questions come up every time someone evaluates…
Feb 2026 · docpose.cloud · its alternatives →
- 21GD
Hello HN, I’m Andrew from docs.dev (https://docs.dev/), an AI powered docs assistant. With docs.dev you can generate your docs directly from your codebase, existing docs and other context sources. We don’t believe AI will replace technical writers—our goal is to make it easier for teams to get a solid first draft that they can review, edit, and improve. Think of it as a head start, not a finished product. More info on what we’ve built below but we wanted to release a quick, 1 minute, generate docs from your codebase tool. Try it out here:…
2025 · app.docs.dev · its alternatives →
- 22TR
Hey HN, Today, we’re launching tile.run, an API that extracts structured data from unstructured documents (PDF, images, text) with support for custom schemas. The Problem: Extracting data out of unstructured documents is surprisingly hard. We built tile.run while solving this for our product Kili (automation for invoicing/reconciliation). We found that getting to accuracy that is reliable enough for automation is challenging. Dense documents (e.g., lots of tables or line items) are even harder, and these are the most valuable to automate. After talking to other teams and developers, we…
2024 · tile.run · its alternatives →
- 23
Last week I benchmarked my open-source Deep Research tool against ChatGPT, Perplexity, and Gemini. I caught OpenAI fabricating 4-5 citations that don't exist. Gemini reduced real hazard ratios by 30-40%. So I built ASK Mode: every answer gets automatically verified against a second round of sources. Each claim marked [OK], [??], or [NO]. - ~400 verified answers for $1 - 2-3 minutes per query - No RLHF nannying - it answers what you ask - Full verification report with every response The gap between chat (unverified, stale training data) and deep research (20+ minutes) needed filling.…
Feb 2026 · github.com · its alternatives →
- 24
Hi HN, I built a simple TUI for viewing and editing .md files in the terminal. More and more markdown files keep appearing in our projects, and I found myself needing a quick way to view(with syntax highlighting) and edit them without leaving the terminal, so I built this
Apr 2026 · mdee.bkh.dev · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →