Neurohelper AI Models

ElevenLabs Scribe v2

Audio Models
ElevenLabs · Speech to text

ElevenLabs Scribe v2 Speech to text that understands the room

Turn meetings, interviews, podcasts, voice notes, research recordings, and creator videos into structured transcripts with speaker labels, word-level timing, language detection, and audio-event tags.

90+ languagesSpeaker diarizationWord timestampsAudio-event tagsKeyterms
Structured transcriptSpeaker detection
Café interview · 2 speakersEnglish · detected
Guest · 00:00What surprised me most was how quickly people understood the idea.
Guest · 00:05We expected to spend weeks explaining the new service, but customers immediately started suggesting ways they could use it in their own work.
Interviewer · 00:13Was there anything they found confusing during those first conversations?
Guest · 00:17Mostly the number of possibilities.
Guest · 00:20Once we showed them one clear workflow instead of every available feature, the conversation became much easier.

Scribe v2 works inside the same Neurohelper AI workspace as Audio Master, Chat Master, Video Master, and Smart Assistants. Clean a noisy recording, transcribe it, turn the transcript into a summary or content plan, and continue without moving files between separate subscriptions.

Audio IsolationScribe v2Chat MasterSmart Assistants
90+languages supported by the current Scribe v2 family
Up to 32speakers in ElevenLabs diarization workflows
Word levelstart and end timestamps for precise navigation
Dynamictags for laughter, applause, footsteps, and other events

AI transcription model

More useful than a wall of plain text

Scribe v2 does not only recognize words. Its structured output helps preserve who spoke, when a phrase occurred, which language was used, and what happened around the speech.

01

Separate speakers

Turn interviews, meetings, podcasts, and customer conversations into readable dialogue instead of an anonymous paragraph.

02

Find the exact moment

Use word-level timestamps to build captions, navigate long recordings, locate quotes, and align edits with the original audio.

03

Keep important terminology

Supply keyterms for model names, people, products, acronyms, or specialist vocabulary that generic transcription often misses.

Transcription is not the same as summarization

Scribe v2 creates the source transcript. Afterward, a chat model in Neurohelper AI can turn it into meeting notes, chapters, action items, social posts, subtitles, research findings, or a searchable knowledge document.

Audio and structured output

Four real recordings, one connected audio workflow

These are the same voice tracks demonstrated on the ElevenLabs Audio Isolation page. Here, the cleaned results become structured Scribe v2 transcripts. Starting another example automatically stops the previous audio.

Interview · Speaker diarization

A Customer Story Recorded in a Busy Café

The cleaned interview becomes readable dialogue with separate labels for the guest and interviewer.

Ready to play0:00 / --:--
Scribe outputSpeaker labels + timestamps
Guest · 00:00What surprised me most was how quickly people understood the idea.
Guest · 00:05We expected to spend weeks explaining the new service, but customers immediately started suggesting ways they could use it in their own work.
Interviewer · 00:13Was there anything they found confusing during those first conversations?
Guest · 00:17Mostly the number of possibilities.
Guest · 00:20Once we showed them one clear workflow instead of every available feature, the conversation became much easier.
Diarization onLanguage: EnglishWord timestamps
Field recording · Timed transcript

An Outdoor Interview Near Traffic and Wind

A cleaned location recording becomes a navigable transcript ready for quotes, captions, or a written report.

Ready to play0:00 / --:--
Scribe outputSentence timing
Speaker 1 · 00:00We are standing just outside the Riverside Market, where local businesses are testing a new weekend pedestrian zone.
Speaker 1 · 00:08The first morning has been busy, but shop owners say the quieter street already feels more welcoming.
Speaker 1 · 00:14Over the next few weeks, the city will collect feedback from visitors, residents, and delivery teams.
One speakerLanguage: EnglishWord timestamps
Video · Subtitle preparation

Narration Recovered from a Music Bed

The isolated narration can move directly into subtitle creation, quote selection, chapters, and translated caption workflows.

Ready to play0:00 / --:--
Scribe outputCaption-ready segments
Speaker 1 · 00:00The city feels different before sunrise.
Speaker 1 · 00:03Delivery lights appear behind quiet windows, the first trains cross the river, and empty cafes begin preparing for the morning.
Speaker 1 · 00:11Within an hour, these streets will be full again.
Speaker 1 · 00:15For now, every familiar place seems to belong to an entirely different world.
One speakerLanguage: EnglishCaption timing
Creator content · Repurposing

A Home-Recorded Planning Tip

Once the appliance noise is removed, the transcript can become captions, a post, a checklist, or a searchable tutorial.

Ready to play0:00 / --:--
Scribe outputContent-ready transcript
Speaker 1 · 00:00Here is the small change that finally made my weekly planning system useful.
Speaker 1 · 00:04Instead of creating a separate list for every project, I keep one short priority board and review it each morning.
Speaker 1 · 00:10It takes less than five minutes, and I can immediately see what needs attention and what can safely wait.
One speakerLanguage: EnglishWord timestamps

Practical workflow

From raw recording to usable knowledge

The strongest result often comes from connecting transcription with the other Neurohelper AI modules.

01 · Prepare

Choose the recording

Use a meeting, interview, podcast, voice note, lecture, research session, or creator clip.

02 · Improve

Clean when necessary

If music or noise hides the speech, process it with ElevenLabs Audio Isolation before transcription.

03 · Transcribe

Add useful context

Enable speaker labels and event tags, then supply names or technical keyterms that matter.

04 · Reuse

Turn text into output

Create captions, summaries, chapters, action items, articles, training materials, or a knowledge base.

Scribe v2 capabilities

What the current Neurohelper AI integration exposes

Use automatic language detection for ordinary recordings, provide a language when you already know it, and add keyterms when exact terminology matters.

InputAudio file or accessible audio URL
Common formatsMP3, OGG, WAV, M4A, AAC
Languages90+ in the Scribe v2 family
Speaker handlingOptional diarization
TimingWord-level start and end
ContextUp to 100 keyterms via current endpoint
Non-speech contextOptional audio-event tags
OutputTranscript, language, probability, timed words

Verified against the official ElevenLabs Speech to Text documentation, Scribe v2 announcement, and fal Scribe v2 endpoint. Last reviewed August 15, 2026.

Frequently asked questions

ElevenLabs Scribe v2 FAQ

What is ElevenLabs Scribe v2 best for?

It is best for accurate batch transcription of meetings, podcasts, interviews, research recordings, lectures, voice notes, and media that benefits from speaker labels and precise timing.

Can Scribe v2 identify different speakers?

Yes. Speaker diarization separates the transcript into speaker-labelled segments. Results depend on recording quality, overlap, speaker similarity, and the number of voices.

Can it transcribe more than one language?

Scribe v2 supports more than 90 languages and can handle multilingual recordings. For predictable single-language audio, explicitly selecting the language may improve consistency.

What are keyterms used for?

Keyterms guide the model toward names, brands, acronyms, product terminology, and specialist vocabulary that may otherwise be ambiguous.

Does Scribe v2 summarize meetings?

Scribe v2 produces the transcript and timing structure. A chat model can then summarize it, extract actions, organize chapters, or create content from the transcript.

Is ElevenLabs Scribe v2 available in Neurohelper AI?

Yes. It is available alongside audio, chat, image, video, and research models inside the unified Neurohelper AI workspace. Availability and usage limits depend on the selected plan.

Make every recording searchable

Turn spoken audio into structured text.

Upload a recording, preserve speakers and timing, then continue with summaries, captions, research, or content creation in Neurohelper AI.

Try Scribe v2