ElevenLabs Scribe Review and Accuracy Test

ElevenLabs, previously known for its AI audio model technology, recently introduced its first Automatic Speech Recognition (ASR) model, Scribe. ElevenLabs Scribe is perhaps the world's most accurate speech-to-text model 2025, supporting context-aware transcription in 99 languages. This AI model even transcribes traditionally underserved languages such as Serbian, Cantonese, and Malayalam.

In this article, we'll explore the technical features of Accessible AI transcription from Scribe, compare it analytically with competitors like Google Gemini 2.0 Flash, Deepgram Nova 2, and OpenAI Whisper v3, and discuss practical use cases relevant to professionals working with app integrations on Latenode, business analysts, marketers, product managers, and content creators.

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How Does ElevenLabs Scribe Work? Technical Overview

Scribe v1 is an ASR model optimized for accuracy in real-world audio scenarios – meetings, phone calls, podcasts, and even noisy environments. Benchmark tests on datasets like FLEURS show Scribe achieving a Word Error Rate (WER) of approximately 3.3% for English and around 1.3% for Italian, slightly outperforming current market leaders.

Key Technical Features:

Multilingual Support: Scribe supports 99 languages and dialects, automatically detecting the language spoken without manual input. It significantly improves accuracy for languages previously underserved by ASR technology.
Speaker Diarization: The model can distinguish and label up to 32 different speakers within a single audio file, making it suitable for transcribing multi-participant meetings or panel discussions.
Contextual Audio Tagging: Scribe identifies and tags non-verbal audio events such as laughter, applause, background music, and ambient noise, inserting clear markers like "(laughter)" or "(music)" directly into the transcript.
Detailed Timestamps: Each transcribed word includes precise timestamps, allowing users to pinpoint exact moments in the audio recording. The model offers structured transcript output in JSON format, facilitating easy integration into existing automation workflows and analytical tools.

ElevenLabs Scribe vs DeepGram Nova 2, Google Gemini 2.0 Flash and OpenAI Whisper v3

High transcription Accuracy:

Independent evaluations confirm that Scribe currently achieves slightly better accuracy than Google Gemini 2.0 Flash and significantly outperforms OpenAI Whisper v3, especially in multilingual scenarios. Whisper v3, despite its popularity, has recently faced criticism for occasional inaccuracies and "hallucinations" – generating text not present in the audio. Scribe, by contrast, strictly adheres to the original audio content, reducing transcription errors.

Multilingual Capabilities

All three models support multiple languages. However, Scribe demonstrates particular strength in accurately generating voice in 102 languages that previously had high error rates (often above 40%). For example, in Indonesian, Scribe achieves a WER of approximately 2.4%, compared to Whisper v3's 7.7% when it comes to common voice. This means that the model is good at multilingual content localization.

Real-time Transcription vs. Batch Processing

Currently, Scribe is optimized for batch processing (uploading audio files for transcription). Real-time transcription capabilities are not yet available but are reportedly in development. For immediate streaming transcription, alternatives like Google or Deepgram may currently be more suitable.

Cost and Accessibility:

What about ElevenLabs Scribe pricing? ElevenLabs Scribe API is priced competitively at around $0.40 per audio hour, similar to OpenAI Whisper's pricing. It is available exclusively as a cloud-based service via ElevenLabs' web interface or API. Unlike Whisper v2, Scribe does not offer open-source deployment, which may be a concern for organizations with strict data privacy requirements.

How to Automate Your Audio and Video Content Workflow on Latenode?

Content creators, marketers, and product teams often face a common challenge: turning raw audio and video recordings into structured, searchable, and engaging content. Whether it's a podcast, customer support call transcription, transcription for researchers, or product demo, manually summarizing, and repurposing multimedia content is tedious, error-prone, and time-consuming.

Teams need smarter ways to automate these processes without sacrificing quality or creativity. Whisper, HeyGen, and ElevenLabs Scribe API, integrated into Latenode's low-code automation platform, offer powerful AI-driven solutions to streamline your multimedia content workflows. Here's how these three models can creatively transform your team's productivity.

ElevenLabs Scribe API: Transcription, Contextual Audio Tagging and Speaker Diarization

ElevenLabs Scribe API is a highly accurate speech-to-text model accessible via API, specifically designed for complex audio scenarios. It excels at identifying multiple speakers, tagging contextual audio events (like laughter, applause, or background noise), and providing detailed timestamps for each word. To find the API endpoint, visit the ‘Create transcript’ page in ElevenLabs Scribe API documentation.

Automated transcription service for academic research Interviews and more with ElevenLabs Scribe API:

Your research team produces a popular podcast featuring multiple guests, lively discussions, and spontaneous interactions. With ElevenLabs Scribe API integrated into Latenode, you can automatically:

Trigger the Scribe API whenever a new podcast episode or meeting is uploaded to Google Drive.
Receive a highly accurate podcast or meeting transcription with clearly labeled speakers, timestamps, and contextual audio tags (e.g., "(laughter)", "(applause)", "(music)").
Automatically push the structured transcript into Notion, creating a searchable podcast archive, marketing content transcription, podcast transcription, or anything else.
Use ChatGPT to generate engaging episode summaries and highlight quotes directly from the Scribe transcript.
Instantly share these summaries and highlights via Slack, keeping your marketing and social media teams updated and ready to repurpose content.

Whisper: Accurate, Multilingual Transcription and Summarization

Whisper is OpenAI's advanced speech-to-text model, known for its accuracy and multilingual capabilities. It effortlessly converts audio and video recordings into precise, timestamped transcripts, even in noisy environments or with multiple speakers. Whisper's strength lies in its ability to handle diverse accents, dialects, and languages, making it ideal for global teams.

Automated AI Transcription Service with Whisper:

Imagine your marketing team regularly conducts customer interviews and product webinars. With Whisper integrated into Latenode, you can automatically:

Upload recordings directly to Google Drive. Every new upload will trigger the scenario.
Whisper instantly transcribes the audio, accurately labeling speakers and timestamps.
The transcript is automatically sent to Notion, creating a structured, searchable knowledge base.
Whisper-generated summaries and key insights are dynamically posted to Slack, keeping your entire team informed without manual effort.

HeyGen: AI-Powered Video Generation and Voice Cloning

HeyGen is an innovative AI model that generates realistic, human-like videos and voiceovers from text inputs. It can clone voices, create personalized video messages, and even translate content into multiple languages seamlessly.

Creative Scenario with HeyGen:

Your product team wants to quickly produce personalized onboarding videos for new users in different regions. With HeyGen integrated into Latenode, you can automatically:

Automatically take the generated transcript from your Notion whenever they're added.
Use ChatGPT to summarize and rewrite the transcript into a concise, engaging onboarding script.
HeyGen automatically generates personalized videos in multiple languages, using cloned voices of your product experts or brand ambassadors.
The finished videos are instantly uploaded to Google Drive, ready for immediate distribution.

Right now, you can seamlessly connect these powerful AI audio models on Latenode, solving your multimedia content challenges and enabling your team to create smarter, faster, and more collaboratively. Each of these models is great as an enterprise transcription solution or for personal use.

When fully integrated into your Latenode workflows, Whisper, HeyGen, and ElevenLabs Scribe API will transform how marketers, product managers, and content creators interact with audio and video data. Be among the first to build these creative automations – sign up and start exploring smarter multimedia workflows today!