Turn recordings into transcripts and summaries in minutes
Upload audio or video for multilingual transcription, AI notes, and action items
Recording-to-text isn't a new need, but truly free and effective tools are rare
I've tried many speech-to-text tools—either they cost money, or their Chinese recognition is so bad it makes you want to smash your keyboard.
Especially after every meeting, seeing one or two hours of audio files sitting on my phone just fills me with dread.
Manually transcribing? I once spent nearly two hours adding subtitles to a 20-minute video, questioning my life choices.
Then I discovered Buzz, and honestly, it was a pleasant surprise.
It uses OpenAI's Whisper model behind the scenes, is completely free and open-source, and requires no command-line skills.
For anyone who wants to avoid the terminal, this is a real game-changer.
Before installing Buzz, understand these 4 things
1. It's not a cloud service—it runs on your computer
All recognition in Buzz happens locally, so you don't have to upload your audio files to someone else's server.
This is a big plus if your meeting content is sensitive.
The trade-off is that transcription speed depends on your computer's performance; a dedicated GPU makes it much faster.
2. Model size directly impacts accuracy and speed
Buzz defaults to the Whisper Tiny model, which is fast but only average in accuracy.
If you're transcribing Chinese content, I recommend going straight to the Large model for much better accuracy.
The downside is that the Large model is resource-hungry; older computers might make you wait forever.
3. Output formats include TXT, SRT, and VTT
This is super useful for video creators.
You can export to SRT and drop it directly into your editing software as subtitles, no need to manually sync timestamps.
4. Supports both live recording and file import
You can either use your microphone to record and transcribe in real time, or import existing audio or video files.
This is more flexible than many online tools that only allow file uploads.
5-Step Buzz Speech-to-Text Tutorial
Step 1: Download and install
Head to Buzz's GitHub page to download the installer.
On Windows, it's a standard installation—just click Next all the way through.
On Mac, it's even simpler: drag Buzz into your Applications folder.
Step 2: Choose your working mode
After opening Buzz, you'll see two main options in the top-left corner:
- Record: Use your microphone for real-time recording and transcription
- Import file: Drop in existing audio or video files to transcribe
If you want real-time transcripts during a meeting, choose Record.
If you're organizing old recordings, go with Import.
Step 3: Set language and model
The language is set to auto-detect by default, but if you know the content is in Chinese, manually selecting it gives more stable results.
For the model, use Tiny or Base if you're in a hurry; choose Large if accuracy is your priority.
My personal habit: always use Large for Chinese content, and only consider smaller models for English.
Step 4: Start transcribing
Once configured, hit the RUN or record button to start.
The screen will show an "In Progress" status, and it's done when it hits 100%.
Transcription time depends on your audio length and computer performance; transcribing a 20-minute video took me about 6 minutes.
Stop organizing recordings by hand
Upload audio or video and automatically get a transcript, summary, and action items
Step 5: Review and export results
After transcription, you can view the text directly in the app.
To export, choose TXT, SRT, or VTT, and the file will be saved automatically in the original file's folder.
Pick SRT for subtitles, TXT for plain text—it's intuitive.
My Hands-On Experience with Buzz
Pros: It saves a ton of time
Previously, a 20-minute video took me two hours to subtitle manually.
With Buzz, transcribing and then proofreading took about 15 minutes total.
For anyone who regularly produces videos or transcribes interviews, this efficiency boost is huge.
Pros: Chinese recognition is better than expected
Using the Large model on Chinese news clips, the error rate was lower than I thought.
It's not 100% perfect—proper nouns and heavy accents can still cause mistakes.
But as a first draft that you proofread once, it's way better than starting from scratch.
Cons: No dedicated English model
Buzz's model menu doesn't include a dedicated English-only model.
I'm not sure if selecting English automatically uses an English-specific model.
The official docs don't clarify this, but in practice, English accuracy is decent.
Cons: Resource-heavy, tough on older computers
When using the Large model, CPU and memory usage max out.
If you only transcribe short clips occasionally, smaller models are sufficient.
But for long recordings, a computer with a dedicated GPU will give you a much better experience.
Pitfall Guide: 3 Common Mistakes with Buzz
Pitfall 1: Using the default Tiny model for Chinese, then complaining it's inaccurate
The Tiny model is fast, but its Chinese accuracy is genuinely poor.
If you get a bunch of gibberish or typos, first check if you're using too small a model.
For Chinese content, go straight to Large—don't skimp on time.
Pitfall 2: Setting language to auto-detect, but content is mixed Chinese-English
For meetings or interviews with mixed languages, auto-detection often fails.
If you know the primary language, manually specifying it gives more stable results.
Pitfall 3: Expecting it to be as fast and accurate as paid services
Buzz is a free, open-source tool; transcription speed depends on your computer, not their servers.
If you need results in seconds from a cloud service, Buzz isn't for you.
But if you're willing to wait a few minutes for free, locally processed transcription, Buzz is a great deal.
Summary: Who Should Use Buzz?
Buzz is a good fit for:
- Those who don't want to pay for a subscription and have occasional transcription needs
- People with sensitive meeting or recording content who prefer not to upload to the cloud
- Those who need lots of transcription but have a tight budget and are willing to trade time for free
- Anyone who wants a GUI-based Whisper tool without touching the command line
Buzz is not ideal for:
- Those who need real-time transcription for many meetings and can't wait for local processing
- Users with underpowered computers who frequently transcribe long audio files
- Those who want to record and transcribe directly on a phone—Buzz is primarily desktop-focused
If you're just looking for a free, open-source speech-to-text tool that doesn't require command-line skills, Buzz is definitely worth a try.
Downloading and installing takes less than five minutes—just drop in a recording and see if it works for you.
References
- Buzz: Free Open-Source Speech Recognition Tool, Quickly Convert Recordings or Videos to Text and Subtitles
- Buzz: One-Click AI Video-to-Text—Free and Accurate Speech-to-Subtitle and Transcript Software
- Video Processing AI Fun-3: Use Buzz for Easier Speech-to-Text—Tutorial | NVDA Taiwan
- Buzz: Free Open-Source Speech-to-Text Software Based on OpenAI Whisper, Supports File Import and Real-Time Transcription—Computer King Ada
- Hands-On Review! Completely Free OpenAI Whisper Speech-to-Text Auto Tool, Subtitles and Transcripts in One Click|Buzz Tutorial - YouTube
Turn every recording into actionable outcomes
Get 60 free transcription minutes when you sign in. No credit card required.
Related Reading
You might also like

Best Speech-to-Text Tools in 2026: 5 Tested Options and Buying Guide (PTT Insights)
A practical guide based on real PTT discussions about speech-to-text, meeting notes, and AI summaries. Compare 5 popular tool categories across free plans, Chinese accuracy, cross-platform support, and team collaboration to quickly decide which fits your meetings and interviews.

5 Best Free Speech-to-Text Tools in 2026: Which One Saves You the Most Effort?
We tested 5 free speech-to-text tools, covering everything from transcribing audio recordings to organizing online meetings, AI summaries, and post-editing. This guide helps you quickly determine whether the free tier is sufficient and which tool fits your specific use case.

4 Best Speech-to-Text Tools in 2026: From Free to Paid, Explained
Tired of spending hours transcribing meeting recordings and interview notes? This article compares 4 speech-to-text tools worth considering in 2026, from the free online cSubtitle, the English-meeting favorite Otter.ai, to Tinrec, which focuses on AI meeting collaboration, helping you understand their ideal use cases and limitations at a glance.

4 iPhone Voice-to-Text Apps Compared in 2026: Try Free Built-In Features First, Then Upgrade to AI Meeting Tools
iPhone has built-in voice-to-text solutions. This article tests three native features—Voice Memos, Dictation, and iMessage voice messages—and compares them with AI meeting tools like Tinrec to help you decide when free features are enough and when to upgrade.

2026 Speech-to-Text Tools: Record Lectures, Get Transcripts & AI-Powered Summaries
A senior student tests speech-to-text tools, from whether free plans are sufficient to organizing lecture recordings and using AI Q&A to find key points, helping you avoid common pitfalls discussed on PTT.

Best Speech-to-Text Software in 2026: Tested 4 Tools, This One Saves the Most Time for Meeting Minutes
From the perspective of a mid-level manager attending 15 meetings a week, we tested MyEdit, Google Play speech-to-text apps, cSubtitle, Windows built-in dictation, and Tinrec. This article explains how to choose speech-to-text software, which features truly save time on meeting minutes, and how to decide between free and paid plans.

How to Download iPhone Voice Memos in 2026: Export to Computer & Convert to MP3 (Full Guide)
Wondering how to download iPhone voice memos to your computer? This guide covers 5 iTunes-free export methods, including iCloud Drive, AirDrop, LINE, Dropbox, and email, plus how to convert M4A to MP3 for seamless playback on both Windows and Mac.

2026 iPhone Recording Microphone Buying Guide: 5 Tested Picks and Recommendations
The built-in iPhone microphone easily picks up ambient noise, so for vlogging, interviews, or live streaming, an external microphone is essential. This guide covers 5 clip-on and wireless recording solutions for iPhone, from plug-and-play options to noise reduction and pass-through charging, helping you choose the right recording tool.

How to Download iPhone Voice Memos in 2026: 3 Steps to Export and Convert Audio Files
Learn how to download iPhone voice memos to your computer using AirDrop, email, LINE, and other methods. This guide also covers converting M4A to MP3 and using Tinrec for transcription, so your recordings never stay stuck on your phone.
