Live transcription
Follow speech as text while someone is still talking.
Live transcript
Microphone starts only when you choose
Your words will appear here
Start a recording, or open the prepared demo to see speaker turns and mixed-language text.
Keep using Mal Transcribe 2 on this page, or open a related job: live notes, speaker labels, meetings, interviews, or mixed-language sessions.
Mal Transcribe 2 Online Speech to Text
Mal Transcribe 2 is Microsoft’s MAI-Transcribe-2 speech-to-text model for meetings, interviews, captions, and mixed-language audio.
Muse Voice Transcribe is a speech-and-text catalog: run Mal Transcribe 2 here without a separate Microsoft, OpenAI, or ElevenLabs account. Start in the workbench above, then use the comparison below to decide when this model beats Whisper, ElevenLabs Scribe, or live Muse Voice Transcribe capture.
What Mal Transcribe 2 does
Mal Transcribe 2 is Microsoft’s MAI-Transcribe-2 speech-to-text model. On Muse Voice Transcribe you run it as a catalog tool: speech in, text out, with about 60 languages, speaker diarization, word-level timestamps, and keyword biasing. You do not need a separate Azure, OpenAI, or ElevenLabs account for this page.
Muse Voice Transcribe is an independent speech-to-text provider. Mal Transcribe 2 is the Microsoft MAI-Transcribe-2 model offered through this catalog. WER, latency, language, and vendor-price figures below summarize Microsoft materials reviewed on 4 September 2026. They are not scores measured on this site. Site pricing still applies.
Last updated:
What is Mal Transcribe 2?
Mal Transcribe 2 is Microsoft’s MAI-Transcribe-2 speech-to-text model. It is built for multilingual transcription in real recordings: background noise, accents, code switching, and more than one speaker. On Muse Voice Transcribe it is a catalog model you open like any other speech-to-text tool, rather than a separate Microsoft console.
- Mal Transcribe 2 covers about 60 languages with automatic language identification, so you do not have to guess the locale before every file.
- Speaker diarization and word-level timestamps ship together, which keeps “who spoke when” attached to the words.
- Keyword biasing and clean or verbatim styles help with product names, clinical terms, captions, and compliance-style transcripts.
- Public evaluations place it among the fastest high-accuracy batch models versus Whisper Large v3, GPT-Transcribe, Gemini transcribe, and ElevenLabs Scribe v2. Treat those scores as published benchmarks, then review your own audio.
Model-card details and benchmark tables are published by Microsoft AI and Azure Speech documentation.
Inspect a transcript before a long file
A useful Mal Transcribe 2 result is easy to scan: speaker labels, elapsed times, mixed-language turns, and a TXT handoff. Open the prepared example in the workbench or read the layout below. The sample is a four-turn, 21-second conversation with Speaker A, Speaker B, and one English-Mandarin line.
| Speaker | Time | Text |
|---|---|---|
| Speaker A | 00:04 | Thanks for joining. Let us start with the interview questions. |
| Speaker B | 00:09 | 当然，我已经准备好了。The first topic is the launch timeline. |
| Speaker A | 00:15 | Great. I will keep the transcript open while we talk. |
| Speaker B | 00:21 | Perfect. We can review the final text before sharing it. |
The example shows the transcript format you get on this page. Copy or download TXT when you want the same layout in another editor.
Model specs at a glance
| Fact | Value |
|---|---|
| Model | Mal Transcribe 2 (MAI-Transcribe-2) |
| Job | Speech to text on Muse Voice Transcribe |
| Languages | About 60, with automatic language identification |
| Built-in extras | Diarization, word-level timestamps, keyword biasing, clean or verbatim style |
| Typical audio | Meetings, calls, interviews, captions, noisy files |
| Export on this page | Copy or plain TXT |
| Vendor accounts | Not required: run catalog models here without buying each provider |
| Published WER | 3.4% average on FLEURS top 25 languages; 2% on Artificial Analysis (#2). Microsoft figures, not measured on this site |
| Published inference latency | About 10 seconds of model inference for 1 hour of audio (Microsoft) |
| Published vendor price | $0.10 per hour of audio, limited-time Microsoft list price. Site pricing still applies |
Model facts summarize Microsoft, Whisper, and ElevenLabs public materials reviewed 4 September 2026. WER, latency, and vendor price are Microsoft-published figures, not measurements from this site. Site facts describe the Muse Voice Transcribe catalog.
Mal Transcribe 2 vs Whisper, ElevenLabs, and Muse Voice Transcribe
Choose Mal Transcribe 2, Whisper, ElevenLabs Scribe, or Muse Voice Transcribe from the job, not from the vendor logo. Mal Transcribe 2 is the Microsoft MAI-Transcribe-2 model on this Muse Voice Transcribe page. Whisper is the open-weight baseline. ElevenLabs Scribe is a managed transcriber next to that vendor’s voice products. Muse Voice Transcribe is the live capture tool on this same site.
| Need | Mal Transcribe 2 | Whisper | ElevenLabs Scribe | Muse Voice Transcribe |
|---|---|---|---|---|
| Best for | Multilingual files, noise, diarization, domain terms | Open weights, self-host, custom research pipelines | Managed STT next to ElevenLabs voice and TTS | Short live notes while people are still talking |
| How you run it | Run Mal Transcribe 2 here as a catalog model | Self-host or an API you assemble yourself | ElevenLabs product, or that vendor if you already buy Scribe | Live transcription workspace on this site |
| Languages | About 60 with automatic language identification | Very broad multilingual coverage in Whisper Large v3 | 90+ languages in Scribe materials | Five live recognition-language choices |
| Speaker labels | Built-in diarization | Usually a separate diarization stack | Included in Scribe | Useful for live follow-along; use this page for full diarization |
| Timestamps | Word-level timestamps | Segment or word times depending on setup | Word-level timestamps | Elapsed time beside each live line |
| Domain vocabulary | Keyword biasing | Hotwords vary by deployment | Keyword prompting | Correct terms after you export |
| Speed profile | Fast batch transcription in published evals | Depends on your GPU and implementation | Batch Scribe plus a realtime Scribe option | Partial text as you speak |
| Separate vendor bill | Not required on this site | Required if you host or buy OpenAI yourself | Required if you buy ElevenLabs yourself | Included with this site |
Features and advantages
These are the reasons to choose Mal Transcribe 2 on this site instead of standing up Whisper yourself or switching to an ElevenLabs-only stack.
Multilingual speech to text in one model
Mal Transcribe 2 covers about 60 languages with automatic language detection, which reduces setup for mixed catalogs. Input is speech; output is source-language text you can edit. Translation is a separate step if you need it.
Speakers and word times without extra tools
Diarization and word-level timestamps arrive with the transcript. That is the advantage over stock Whisper, which usually needs a second pipeline for speaker labels. Map Speaker A to a real name only after you check the audio.
Holds up on imperfect recordings
The model is built for noise, distance, and code switching. That is where it pulls ahead of a quiet-room live draft. Overlap, rare names, and numbers still need a human pass.
Domain terms and caption-ready style
Keyword biasing steers product, legal, or clinical vocabulary. Clean style drops fillers for captions; verbatim style keeps ums and restarts for QA. You get that control without a custom Whisper fork.
How Mal Transcribe 2 works
The workflow is the same idea as other tools on this site: open the page, capture speech, review the transcript, export text. Mal Transcribe 2 is the model doing the conversion.
- 01
Open this page and start in the workbench
Open the Mal Transcribe 2 workbench at the top of this page. You do not create an Azure, OpenAI, or ElevenLabs account to use catalog models here. The model can identify language automatically; pin a language only when you want to constrain the session.
- 02
Let Mal Transcribe 2 convert the speech
Mal Transcribe 2 returns text with speaker turns and timestamps. Watch the transcript area as lines settle. Pause if the room goes quiet; finish when the conversation ends.
- 03
Review names, numbers, and speaker turns
Check proper nouns, amounts, and whether a speaker label switched at an interruption. Replace Speaker A or Speaker B with a verified name only when the audio supports it.
- 04
Copy or download TXT, then continue
Export the draft into notes, an editor, or a caption workflow. Use the related tools on this site for a live-only session, a meeting checklist, or an interview layout.
Typical use cases
Use Mal Transcribe 2 when the recording is the source of truth and you need text you can search, caption, or quote after a review.
Meetings and customer calls
A facilitator or account lead starts with spoken discussion. Run Mal Transcribe 2, keep speaker turns and timestamps, then edit decisions into notes. Expected result: a searchable transcript, not auto-approved minutes. This matches meeting transcription with diarization.
Captions and content teams
An editor has a noisy source mix, sometimes in more than one language. Run a clean-style Mal Transcribe 2 transcript for captions or show notes, then export TXT. Expected result: a first caption pass with word times. This matches multilingual speech to text for video.
Interviews and research
A researcher records questions and answers, including code switching. Keep interviewer and guest turns distinct, then verify quotes against the audio. Expected result: labeled turns ready for analysis. This matches interview transcription with speaker labels.
What still needs a human check
Mal Transcribe 2 is strong on multilingual and noisy audio. It is still a draft until names, numbers, and speaker identity are reviewed.
Accuracy depends on the recording
Overlap, extreme noise, rare names, and fast crosstalk can still mis-cut a turn or miss a number. Compare important lines with the source before publishing.
Diarization is not legal identity
Speaker A means clustered voice, not a verified person. Attach a name only when the meeting context or audio makes it clear.
Not a replacement for certified captioning
Accessibility, medical, and legal workflows may require a qualified human transcript. Use this output as a first pass unless your process says otherwise.
Consent and file handling still matter
Tell participants that speech is converted to text. Control who receives the TXT file. Sensitive sessions may need a stricter process than a general speech-to-text tool.
Output is source-language text, not translation
Mal Transcribe 2 returns text in the spoken language. Translation is a separate step if you need another language.
Usage limits follow this site
You do not need a separate Azure bill for catalog models here. Check Pricing for Muse Voice Transcribe usage limits. Speaker labels cluster voices; they do not guarantee a fixed speaker count.
Frequently asked questions
What is Mal Transcribe 2?+
Mal Transcribe 2 is Microsoft’s MAI-Transcribe-2 speech-to-text model. It converts audio into text with multilingual coverage, speaker diarization, timestamps, and keyword biasing. On Muse Voice Transcribe you run it as a catalog tool instead of opening a separate Microsoft console.
Is Mal Transcribe 2 better than Whisper?+
Mal Transcribe 2 is usually simpler than Whisper when you need managed multilingual speech to text with built-in diarization and timestamps. Whisper is stronger when you need open weights or a self-hosted stack. Published evals put it ahead of Whisper Large v3 on speed and several accuracy tables; still test your own audio.
Is Mal Transcribe 2 better than ElevenLabs Scribe?+
ElevenLabs Scribe is a strong managed transcriber, especially if you already use that vendor for voice and TTS. Choose this Microsoft model when you want multilingual batch transcription, diarization, and keyword biasing inside this speech-to-text catalog. Pick the model from the job rather than from a single ranking.
Do I need an Azure account to use Mal Transcribe 2?+
No. Muse Voice Transcribe is a speech-and-text conversion provider. You use catalog models here without buying each vendor separately. Site pricing still applies. Direct vendor consoles remain an option if you want those contracts on your own.
How do I start a Mal Transcribe 2 transcript on Muse Voice Transcribe?+
Use the workbench at the top of this page. Start a job, follow the text, review speaker turns and key details, then copy or download TXT. Related pages cover live-only notes, meetings, and interviews if that is the next job.
Next steps after you export
When the Mal Transcribe 2 TXT file is in hand, open pricing, help, or the product overview. Live, meeting, interview, and speaker-label workflows stay on the cards above.
Start a Mal Transcribe 2 transcript
Open the workbench, capture a short test, and export TXT. This page is the Mal Transcribe 2 tool on Muse Voice Transcribe: one catalog, no separate Microsoft purchase.
Back to the workbench