
r/DigitalEscapeTools

I’ve been working on Tabularis, an open-source desktop database client for Postgres, MySQL and SQLite.
It’s meant to be two things at once: a comfortable everyday SQL app (editor, notebooks, charts, visual tools) and a safe bridge for AI agents that want to read your schema or run queries, without you having to paste credentials into a chat.
Free, open source, runs locally. Would love your thoughts.
Help us grow the DigitalEscapeTools GitHub
The repository is growing, and I'd like to get more of the community involved.
If you know a privacy-focused, open-source, self-hostable, or otherwise interesting tool that deserves to be listed, suggest it or contribute directly.
If you find the directory useful, a ⭐ on GitHub also helps it reach more people and attract contributors.
https://github.com/abdomk1998/awesome-digital-escape-tools
What should we add next?
ImmiBridge – Back up Apple Photos directly to your self-hosted Immich server
We kept running into the same problem when sharing React Native staging builds.
PMs, designers, and backend engineers on our team often needed to check a staging build. Sometimes they wanted to verify a layout, sometimes reproduce a bug, or just confirm that an API change behaved the way they expected.
Sending the build wasn't the hard part.
Actually running it was.
Most people didn't have Xcode or Android Studio set up, and asking them to install everything just to check one build wasn't realistic. The alternative was usually asking a mobile developer to install the app or share their screen, which happened more often than we'd have liked.
We looked at services like Appetize and BrowserStack, but they didn't really fit how we work. We already had Macs available internally, and we weren't comfortable uploading app binaries to an external service just so teammates could review a staging build.
So I started building an open-source tool that runs iOS simulators and Android emulators on a Mac and streams them to the browser.
The idea wasn't to replace TestFlight or Appetize. I just wanted an easier way for teammates to review staging builds without needing a mobile development setup.
It's still early (v0.x), but building it has taken me into a lot of areas I hadn't worked on before—video streaming, low-latency input forwarding, simulator orchestration, and React Native QA workflows.
I'm curious how other React Native teams handle this.
How do non-mobile developers on your team review staging builds?
- TestFlight?
- Internal APKs?
- BrowserStack or Appetize?
- Something else?
If you're interested, here's the project:
pocketwatch - Self-hosted minimal time tracking.
Every time tracker wants an account, a subscription and your data on someone else's server. I just wanted: click start, click stop, and a PDF at the end of the month. So I built my own.
>Live demo: https://winnicodes.github.io/pocketwatch/
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GitHub: https://github.com/winnicodes/pocketwatch
Platform: Docker (Linux, Windows, NAS, Raspberry Pi):
- One-click start/stop, live timer
- PDF and CSV export
- Fully self-hosted - no account, no cloud, no tracking
I got tired of Fastfetch, so I built my own from scratch with zero dependencies
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I know Fastfetch already does the job really well, so I wasn't planning to make another fetch tool at first.
I just wanted to see if I could build one myself, from the ground up, without relying on external dependencies.
That turned into nourfetch.
It's written entirely in Rust, with zero external dependencies. The system information is collected using Rust's standard library and native OS APIs.
It's currently around 500KB , starts in under 5ms, and works on Windows, Linux and macOS.
It can show CPU, GPU, VRAM, RAM, disks, battery, display, OS information and more. I also added different layouts, logos, themes and gradients because I wanted it to actually look nice in the terminal.
What matters most to me is that the whole thing is open source. You can look through the code, build it yourself, change whatever you want, or just tell me what I got wrong.
I'm not saying it's going to replace Fastfetch , Fastfetch is way more mature.
But if you use Fastfetch or Neofetch, I'd really like you to try this one and tell me how it compares on your machine.
If you have a minute, give it a shot:
GitHub: https://github.com/itsraynour/nourfetch
Demo: https://itsraynour.github.io/nourfetch/
And if you like it, a star would honestly mean a lot
I built an open-source Chrome extension that automatically redacts sensitive information from screenshots
I kept running into the same problem: screenshots often contain information you didn't realize you were sharing.
An API key. An email address. A phone number. A password field. Customer information.
Usually, you take the screenshot first and then manually look for things to hide.
I built Blackbar to reverse that workflow.
It reads the page before capturing it and automatically detects and redacts sensitive-looking information. The screenshot you get is already the safer version.
The part I cared most about was privacy.
Blackbar runs entirely on the device. It declares connect-src 'none', so Chrome itself blocks the extension from making network connections. It still works with Wi-Fi turned off.
It's also open source, has no account requirement, and is free.
I'd genuinely like feedback from other Chrome extension users/builders, especially on:
- detection accuracy
- false positives/negatives
- the capture workflow
- anything that would make you hesitate to trust it
A collectoin of 100 samll apps and tools open source and no Ad or Signups
Hey Folks I made the following website full of small tools to use free of charge, no ads , no signups and all source code is available on github.
plus, it created without usign any dependency or ...
Let me know what do you think?
Magnitude – Open-source AI coding agent that runs local models offline
[OS] Capptivo: Open-source alternative to Screen Studio (auto zoom, captions, editor)
I'm a builder who got tired of paying monthly for polished demo video tools and every tool I tried either didn't quite fit my workflow or was missing something I needed, like draw-on-screen annotations: a pen, a highlighter, and a way to point directly at what I'm talking about.
So I built Capptivo for myself. Record on macOS, Windows, or Linux, then polish your videos in the editor: follow-cursor zoom, click-based auto-zooms, editor presets, face-cam, on-device captions, and draw-on-screen annotations with pens, highlighters, and shapes that you can place over your screen while recording to highlight exactly what matters.
Create stunning screen recordings in seconds, not hours your demos almost make themselves.
Capptivo isn't a clone of Screen Studio or Cursorful. Every feature was built around my own workflow and the problems I faced. I'm now open-sourcing it under the MIT License so anyone can use it, improve it, customize it, or build on top of it without restrictions. No more paying $29/month just to ship a clean product video.
It's still early, and I'm building it mostly solo, so I'd genuinely love your honest feedback. What would make this more useful for your demos? What am I missing compared to the tools you already use?
Happy to answer any questions, and contributions are always welcome.
Try it now for free : capptivo.com
Leave a star on GitHub: https://github.com/SECHAK-AG/capptivo
Endurain – A self-hosted, privacy-focused alternative to Strava
Ranger — A private, offline file browser for Windows & Linux
Favnyr is a portable file browser for Windows and Linux that runs entirely offline, with no account, telemetry, update checks, or background services.
It supports multiple panels and tabs, saved workspaces, favourites, custom commands, file previews, filtering, drag-and-drop, and more. It's written in Rust and distributed as a single executable with no installer or administrator rights required.
The project is open source under GPLv3+.
The developer also reached out to share the project and has been transparent about using AI assistance during development while manually reviewing and testing changes on both Windows and Linux.
GitHub: https://github.com/GlitchAwakened/Favnyr
Mod Note : The developer has renamed the project from Ranger to Favnyr to avoid confusion.
Also, the original Reddit post title cannot be changed, so it will still show the old name Ranger in the title.
Voiden: the Privacy First Open Source API IDE that keeps everything in plain Markdown, offline
We built an API Client who is not copying the legacy tools
Voiden is an offline-first, Git-native API IDE where every request is a plain Markdown: the request, environment, tests and docs in one executable text files.
Requests are built from reusable blocks (auth, endpoint, params, body), so you define a header once and reference it everywhere, and a CLI runner executes the files straight from your terminal or CI.
No telemetry, no account, no cloud lock-in. Imports Postman, Insomnia and OpenAPI collections to get started.
Github: https://github.com/VoidenHQ/voiden
More details: https://voiden.md
AudioMass – Free, open-source audio editor that runs in your browser
git-calendar.org - An open-source, decentralized, e2ee calendar using Git as the backend
I wanted to share a project I'm working on: git-calendar.org - a privacy-focused calendar that uses a standard Git repository as storage instead of relying on a traditional backend server. It lets users choose where their data is stored. No more google/apple/microslop owning your schedule.
Key features:
- Git-powered - calendar data live in plain Git repo (full history, easy backups, works offline)
- No central server or backend - the client talks directly to any Git remote (GitHub, GitLab, Codeberg...)
- End-to-end encryption so you can host it on untrusted providers
- Slick web UI with keyboard shortcuts and more
- iCalendar compatibility so it's easy to switch
Core is written in Go (compiled to WASM for the web).
The web client uses Vue.js.
It's ready for Android and IOS apps. Feel free to build one!
Try it: https://git-calendar.org
Source: https://github.com/git-calendar
Would love feedback from people who care about Git-based tools and data ownership. Also you can support the project with a star and follow on GitHub, to let me know I should continue working on it!
Meet2Notes — a modular local meeting workspace with private AI, selectable engines, API and webhooks
Hi everyone — I’m the sole developer of Meet2Notes, an MIT-licensed open-source project currently in alpha.
There are already good privacy-first local meeting tools out there, so I’m not claiming to have invented the local meeting assistant.
What I’ve spent the last few weeks building is a different approach: a modular meeting workspace where transcription, diarization, notes, RAG, and the live assistant are separate components with their own engines, settings, workers, and lifecycle.
The goal is to make local meeting intelligence adaptable: use a lightweight setup on a laptop, choose more accurate models when you have the hardware, or connect it to a small team’s internal workflow through its API and webhooks.
AI and privacy disclosure
AI is used for transcription, speaker diarization, optional meeting-note generation, RAG search, and the optional Live AI Assistant.
Meet2Notes supports a fully local setup: local ASR, local diarization, local GGUF models via llama.cpp, local embeddings, and a local SQLite workspace. In that setup, recordings, transcripts, speaker data, notes, and RAG data remain on the user’s machine.
Remote AI is optional. If a user configures LiteLLM, Ollama, LM Studio, or another remote/OpenAI-compatible endpoint, only the content needed for that request is sent to the endpoint the user explicitly selected. API keys are stored in the operating-system keyring, not in the app database or browser storage.
Meet2Notes is open source under the MIT license. It is early alpha software, so I would not yet recommend it for irreplaceable recordings without backups and appropriate consent.
What can it do?
- Record microphone and desktop audio, or import media files
- Create a live transcript and/or run a higher-quality final transcription pass
- Separate speakers and retain local saved voice profiles across meetings
- Generate structured meeting notes with local GGUF models or optional LiteLLM-compatible providers
- Search one meeting or the entire meeting library with local RAG and timestamped sources
- Delete a meeting permanently, including its audio, transcripts, notes, assistant data, jobs, RAG entries, and private files
Selectable local engines
Live and final transcription are selected independently.
The current transcription catalog includes:
- Faster-Whisper: Tiny, Base, Small, Medium, Large-v3, Distil-Large-v3, and Large-v3-Turbo
- NVIDIA Nemotron 3.5 ASR Streaming 0.6B
- NVIDIA Parakeet TDT 0.6B v3
- Microsoft VibeVoice ASR BitNet as an experimental CPU option
For speaker diarization, you can select:
- Sherpa-ONNX as the lightweight default
- Pyannote Community-1
diarize, isolated in its own private environment to avoid dependency conflicts
This means, for example, that a modest machine can run a smaller live transcription model, while a more accurate final pass runs after the meeting.
Live AI Assistant
There is an optional Live AI Assistant that watches provisional transcript segments and posts short, rule-based insights in a movable floating widget.
It has its own bounded queue and dedicated worker. Recording and transcription never wait for an LLM response. The assistant can use a local model or a separately configured LiteLLM-compatible provider; it does not need to use the same model as meeting notes.
API and webhooks
Meet2Notes exposes a local API and durable outbound webhooks for live segments and processing milestones:
- HMAC-signed deliveries
- Retry handling and delivery history
- Per-endpoint content controls
- Non-blocking remote-agent suggestions
My hope is that this makes it useful beyond the standalone UI: a small self-hosting team could keep Meet2Notes as a local capture/transcription node and connect it to an internal dashboard, workflow, or agent without sending all meeting data to a third-party SaaS by default.
GitHub:
https://github.com/estebanstifli/Meet2Notes
Screenshots:
https://estebanstifli.github.io/Meet2Notes/
I would genuinely appreciate feedback on:
- Does selecting an engine for each stage feel useful, or too complex?
- Which local ASR / diarization combinations would you want tested first?
- Would the local API and signed webhooks make this useful for a small team?
- What would you need to verify before trusting it with real meetings?
Happy to receive direct criticism — architecture, privacy boundaries, performance, UX, missing features, all of it.
TUIOS – A modern, Vim-like terminal multiplexer and window manager
I built an open-source Windows app that turns your PC history into visual recaps. PC Recap 1.1 is out
Hey, I’m the developer of PC Recap.
Most computer-usage trackers answer, “How productive was I?” I wanted something that answered, “What did this part of my life on my PC actually look like?”
PC Recap records active application usage and turns it into visual Today, Week, Month, Year, All-Time, Decade, and On This Day recaps.
Version 1.1 is the biggest update so far:
- Day Replay lets you scrub through a recorded day
- Recap Studio creates stories for years, seasons, decades, or custom dates
- Automatic eras detect phases like a gaming era or coding era
- Memory Pins let you attach your own context to a period
- Historical Recovery can find limited pre-installation clues without pretending they are exact usage time
- ActivityWatch and ManicTime sessions can be imported
- Search, comparisons, time formatting, chart tooltips, and app detection are much clearer
- Tracking is more resilient to crashes, restarts, pauses, and closing the window
PC Recap is now open source under GPL v3. Everything is stored locally in SQLite. There is no account, desktop telemetry, cloud activity storage, or external AI API. A new archive starts empty, with no fake statistics.
ActivityWatch is still the stronger choice if you need Linux/macOS support, browser extensions, editor plugins, or an extensible tracking ecosystem. PC Recap is aimed at a different experience: less productivity dashboard, more personal digital time capsule. It can also import ActivityWatch sessions if you want to use both.
PC Recap is currently a Windows 10/11 x64 beta. The installer is unsigned, so Windows may display a SmartScreen warning.
Website: https://pcrecap.online
Source: https://github.com/TheAgencyMGE/pc-recap
Version 1.1: https://github.com/TheAgencyMGE/pc-recap/releases/tag/v1.1.0
I’d especially appreciate feedback on tracking accuracy, the new Day Replay, and whether the recaps become interesting after a few days of real use.