SpeakoFlow
Free, open-source offline voice dictation for Windows, macOS, and Linux. A Wispr Flow alternative with an AI assistant that can read your screen on request and answer questions.
Not yet verifiedsource: GitHubhomepageRustMITcommit d6321032f352
Rust, MIT licensed. The project labels itself: ai assistant, cross platform, dictation, local first, offline speech recognition, privacy focused, rust and speech to text.
SpeakoFlow has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 20 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the most recent recorded attempt, which did not reach a verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- bun install frontend succeeded but Rust/Tauri backend build fails: missing ~70 system -dev packages (libgtk-3-dev, libwebkit2gtk-4.1-dev, libpipewire-0.3-dev, libvulkan-dev, libclang-18-dev, etc.) requiring root to install24 minutes
- Install time
- 24 minutes
- Cold machine to finish
- 25 minutes
- Errors hit and fixed
- 1 hit, 1 fixed with no human help
- How the result was proved
- bun test src exited 0, 494 passed, 0 failed, 26776 expect() calls
- Model tokens used
- 261,230
- Exact commit tested
- d6321032f352
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
- Behaviour against real services
- this run was verified against stand-in services only
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
date' in /work/repo succeeded in 0ms: Total elapsed time: approximately 0 seconds Fri Oct 23 16:40:53 UTC 2026 Here's my final report. exec /bin/sh -lc 'echo "Elapsed: ~24 minutes (16:16 to 16:40)"' in /work/repo succeeded in 0ms: Elapsed: ~24 minutes (16:16 to 16:40) 2026-10-23T16:41:03.474422Z ERROR codex_core::session: failed to record rollout items: thread 01a16… tokens used 261,230
Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 1/3 | Did not run | 20.00 | 1.05 |
Topics (from GitHub)
ai-assistantcross-platformdictationlocal-firstoffline-speech-recognitionprivacy-focusedrustspeech-to-textsuperwhisper-alternativetauritext-to-speechtranscriptionvoice-assistantvoice-to-textvoice-typingwhisperwhisper-cppwispr-flow-alternativewisprflow-alternative
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/speakoflow)Questions
- Does SpeakoFlow run?
- SpeakoFlow has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test SpeakoFlow?
- On a fresh, disposable machine, with every command recorded. One attempt is recorded, and the full method is on the methodology page.
- Where is the evidence for SpeakoFlow?
- The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.