cohere-transcribe-03-2026
by CohereLabs
#1 on Open ASR Leaderboard with 14-language support
CohereLabs/cohere-transcribe-03-2026mixpeek://transcription@v1/cohere_transcribe_03_v1Overview
Cohere Transcribe is a 2B-parameter automatic speech recognition model that ranks #1 on the Open ASR Leaderboard for English. Trained on 500K hours of audio data, it delivers 3x faster real-time processing compared to models of similar accuracy. The model supports 14 languages with strong multilingual performance.
For multimodal search pipelines, accurate transcription is foundational -- every word in the transcript becomes searchable text. Higher transcription accuracy directly translates to better full-text search over audio and video content.
Architecture
Encoder-decoder architecture optimized for streaming and batch ASR. 2B parameters trained on 500K hours of diverse audio. Supports NeMo framework for enterprise deployment.
Mixpeek SDK Integration
import { Mixpeek } from "mixpeek";
const mx = new Mixpeek({ apiKey: "API_KEY" });
// Managed: create a collection over a bucket; Mixpeek runs this model's extractor
const collection = await mx.collections.create({
namespace_id: "my-namespace",
collection_name: "my-collection",
source: { type: "bucket", bucket_ids: ["bkt_your_bucket"] },
feature_extractor: {
feature_extractor_name: "transcription",
version: "v1",
parameters: { model_id: "CohereLabs/cohere-transcribe-03-2026" },
},
});Capabilities
- #1 on Open ASR Leaderboard (English)
- 14 language support with strong multilingual accuracy
- 3x faster than comparable accuracy models
- Apache-2.0 license for commercial use
- NeMo framework support for enterprise deployment
Use Cases on Mixpeek
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Specification
Research Paper
Cohere Transcribe
arxiv.orgBuild a pipeline with cohere-transcribe-03-2026
Add this model to a processing pipeline alongside other extractors. Combine with retrieval stages for end-to-end search.
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