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FeaturedAIProducts#API#OpenRouter#speech recognition#Audio Transcription

OpenRouter Launches Audio Transcription API with Unified Endpoint for Speech-to-Text

OpenRouter：Announcements（RSS）T1
08:0007/22, 08:00 AMRSSRead the original ↗Export MD ↓

Score

82
Information gain7 ×0.3

公开信息对熟悉 OpenRouter 的用户有一定增量，但语音转录本身并非全新概念。

Content quality8 ×0.2

原文简洁清晰地描述了端点、输入输出格式和意义，质量较高。

Practical value9 ×0.2

为开发者提供统一 API，减少模型切换成本，有实际落地价值。

Timeliness9 ×0.15

刚刚发布，时效性极强。

Source reliability9 ×0.15

来源为 OpenRouter 官方公告，信源可信度高。

Base 82 × T1 Source weight ×1 = 82

Curation line 60Selected

Why selected

The feature is practical, but initial support only for base64 input may be less convenient than direct file upload.

AI commentary

「This update is worth noting, especially for teams building voice apps who want to avoid vendor lock-in. OpenRouter's unified routing reduces model selection and deployment complexity, and it's likely to add more multimodal capabilities soon. If you're an indie developer or a small SaaS team, this could become a handy addition to your toolkit.」

Quick overview

OpenRouter has added an audio transcription feature, accessible via a single POST endpoint /api/v1/audio/transcriptions. Developers send base64-encoded audio and receive JSON text plus usage data. This lowers the barrier for integrating speech recognition, eliminating the need to manage multiple models. It currently supports common audio formats, with potential expansion to more languages and models.

  • New POST /api/v1/audio/transcriptions endpoint for audio transcription.
  • Input: base64-encoded audio; Output: JSON text with usage object.
  • Unified API reduces complexity of managing multiple speech-to-text models.

Full text

Showing the source text; the full translation is being generated.

Send base64 audio to POST /api/v1/audio/transcriptions and get JSON text plus a usage object back, with the same API key you already use for chat. Here's the full request contract, the model families, and the limits to design around.

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