Clean text for writing
Clean, readable plain text organized into natural paragraphs — ideal for drafting articles, meeting minutes, or reports.
Accurate transcription of audio, meetings
and video into clean text.
Slysh! is a free, 100% offline alternative to MacWhisper for Windows 10 and 11. Powered by local OpenAI Whisper and NVIDIA NeMo, it transcribes audio to text, records meetings without bots, separates speakers, and generates millisecond-accurate SRT subtitles with zero subscription fees.
Click any phrase in the transcript
to hear it directly in audio playback.
Audio and video transcription workflows:
from quick soundbites to meeting archives.
Find the exact quote, verify phrasing against audio playback, and separate speaker turns.
Explore text editor 02Capture remote colleagues and your own microphone without inviting awkward bots. Revisit key decisions anytime.
Explore meeting recorder 03Extract clean text or existing YouTube subtitles. Search topics and save reference material to your knowledge base.
Explore YouTube tool 04Transcribe single clips or entire folders. Polish copy and export timestamped subtitles ready for video editing.
Explore export formatsFrom audio and video transcription to ready-to-use subtitles and PC voice typing.
All inside one unified workspace.
Accurate multilingual speech recognition on your PC: handles technical terms, accents, and fast dialogue without hallucinations.
A free Windows alternative to MacWhisper: accurate offline speech recognition powered by OpenAI Whisper on your GPU, handling technical jargon, multiple speakers, and diverse accents without cloud dependencies.
Direct capture of Windows system audio and your microphone in Zoom, Meet, and Teams without inviting third-party bots.
Slysh! records loopback audio and your microphone directly, never disturbing participants or requiring host permissions.
Batch extraction of existing subtitles from videos and playlists straight to SRT and VTT without downloading video.
No need to download gigabytes of video: extract clean author or automatic captions with millisecond timestamps.
100% private offline on GPU, or plug in generous free quotas from Groq, Gladia, and Deepgram without installing PyTorch.
Dedicated GPU? Work entirely offline. Lightweight laptop? Connect free cloud APIs with zero system strain.
Add dozens of audio files or folders: sequential background processing without interface stutter or lag.
Configure models, languages, and auto-export: Slysh! processes the entire queue smoothly in the background.
Built-in synchronized editor, audio player, and local database with instant full-text search across your library.
All transcripts stored securely on your disk in SQLite: easy playback scrubbing, in-place corrections, and multi-format export.
Timestamped segments, in-place editing, and clean export.
See how it works inside the app.
A synchronized desktop audio to text editor. Transcripts stay in sync with audio playback. Click any word to jump playback, correct terms in place, and save changes straight to your local archive.
Player and transcript side-by-side — no need to toggle between multiple applications.
Locate key discussion topics, participant names, or specific phrases in fractions of a second.
Click any sentence to hear it instantly. The active segment highlights in real time during playback.
Correct technical terminology and wording while keeping precise millisecond timestamps intact.
In supported modes, review and edit earlier segments before the entire long recording finishes processing.
Slysh! captures Windows system audio and your microphone directly via WASAPI loopback. Works with Zoom, Google Meet, Microsoft Teams, Slack, and any desktop call.
No intrusive meeting bot ever joins your call, makes participants uncomfortable, or requires host permissions. Complete confidentiality for sensitive interviews under strict NDA.
Speaker diarization never uploads voice biometrics online — all processing runs locally on your PC.
Automatic neural voice separation by NVIDIA NeMo Sortformer. Split recordings into distinct speaker turns, label participant names, and export structured dialogue.
Let’s start with the user interviews. What is the most critical question for participants?
How they process recordings today and where they lose the most time.
I’ll draft the interview questions and gather all reference materials by Friday.
Sounds great. Once the interviews wrap up, we’ll jump straight to exact quotes.
Extract subtitles and convert YouTube video audio to clean text without downloading gigabytes of video. Paste a link to a video, playlist, or entire channel queue.
Set publication date ranges and video count limits. Exclude short-form Shorts with a single toggle.
See which videos will be fetched and check which titles already exist in your local library.
Configure automatic export to Markdown or SRT for immediate reference, research, and content work.
When handling dozens of recordings, there is no need to trigger each manually. Simply drop multiple files or an entire folder — Slysh! transcribes the queue in the background.
Add multiple MP3, WAV, M4A, MP4, MKV files or a directory. Duplicate prevention ensures you never re-transcribe completed files.
Set speaker diarization, desired export formats, and choose whether to save outputs alongside source files or in a target directory.
Jump between transcripts right in the editor and export the entire batch in one click without tedious manual steps.
For articles. For team knowledge bases.
For your next video production.
Clean, readable plain text organized into natural paragraphs — ideal for drafting articles, meeting minutes, or reports.
Structured Markdown with metadata and speaker tags — perfect for Obsidian, Notion, Logseq, and note-taking apps.
Fast audio to SRT and VTT subtitle conversion with millisecond precision. Ready for import into Premiere Pro, DaVinci Resolve, or YouTube Studio.
Save transcripts simultaneously to your project directory, Obsidian vault, and team shared drive. Open the file or its folder with a single click after export.
Dedicated GPU? Transcribe gigabytes of audio locally with zero data exposure.
Lightweight office laptop? Connect Groq or Gladia in 1 minute without installing heavy neural packages.
Process speech entirely on your computer. Once the model is downloaded, no internet is required for transcription.
Free transcription in the cloud. Create an account with a supported provider, paste your personal API key, and transcribe speech without warming up your CPU or draining battery.
Complete freedom of choice: Slysh! runs 100% locally without internet on your PC, with cloud as a flexible complement whenever you want to keep your laptop cool. Slysh! is completely free: simply paste your free API key into app settings.
Everything you need to know about offline processing, privacy, supported formats, and system requirements.
Not for local transcription once dependencies and model weights are installed on your computer. An internet connection is only needed for cloud providers (Groq, Gladia) and fetching YouTube subtitles.
In local mode, all audio processing occurs directly on your PC and never touches external servers. In cloud mode, audio is sent strictly to the provider API you configure yourself.
Use cloud-only mode with free API tiers (Groq offers generous daily free hours, Gladia provides starter credits). Slysh! can also run Whisper models on a standard CPU.
Currently, Slysh! is specifically tailored for Windows 10 and Windows 11 (64-bit) with hardware acceleration for NVIDIA GPUs and direct Windows loopback audio capture.
Yes. Slysh! is designed as the offline Whisper transcription app for Windows 10 and 11. It provides the same seamless local experience as MacWhisper: synchronized playback, waveform navigation, speaker diarization, and multi-format subtitle export with native NVIDIA CUDA acceleration and zero subscriptions.
Complete data privacy, zero subscriptions, and offline capability. Your recordings are protected by NDA, never stored on foreign servers, and there are no per-minute transcription limits on your PC.
Transcripts can be exported to clean TXT, structured Markdown (.md) with speaker tags and timestamps, and industry-standard subtitles (SRT and VTT).
The YouTube feature retrieves existing subtitles and captions without downloading heavy video files. For custom video files, use standard transcription.
Install Slysh! on your Windows computer and select local Whisper models. The software transcribes audio (MP3, WAV, M4A) and video (MP4, MKV) 100% offline using your PC's hardware, without subscriptions or minute caps.
Slysh! features a 1-click dictaphone that uses state-of-the-art neural speech models. Speak into your microphone, and Slysh! accurately transcribes your speech with punctuation directly into the editor.
Yes. While Descript and Otter limit free accounts to 30–60 minutes per month and upload audio to cloud servers, Slysh! runs 100% locally on your PC. There are no monthly minute limits, no bots joining your calls, and complete confidentiality under NDA.
Yes, the software itself is free and open-source with no fees or commissions. Local recognition runs on your PC hardware, and cloud modes connect to provider APIs using your personal keys and free tier quotas.
Any modern CPU or NVIDIA GPU (CUDA) with 4–6 GB VRAM
100% local on PC: audio recordings and SQLite database are never uploaded online
Run it on your Windows computer. Transcribe meetings, audio files, and video with zero per-minute fees, bots, or limits.