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GoldBean Baidu Automatic Speech Recognition (ASR) API
x402
GoldBean Baidu Automatic Speech Recognition (ASR) API is a paid API for AI agents from goldbean-api.xyz, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-10).
Converts spoken audio into text using Baidu's ASR engine, accessible as a pay-per-call endpoint via the GoldBean marketplace.
Price / call$0.002
Success—
StatusUnknown
How this service works
51 Baidu AI MCP tools: OCR, Vision, LLM, Speech, NLP, Image Gen, Video Gen. 50 free calls/day. No credit card. Pay-per-call from $0.001.
Output
Returns a JSON object with a 'success' flag and a 'data' object containing the transcribed text extracted from the submitted audio input.
Example use cases
Voice memo to written notes
“I have a voice memo from my meeting this morning — can you transcribe it into text so I can copy it into my notes?”
Transcribe customer call recording
“We have a recorded customer support call in MP3 format. Can you run it through speech recognition and give me a full text transcript?”
Subtitle generation for video
“I need the spoken dialogue from this video clip converted to text so I can create subtitles — can you transcribe the audio track for me?”
Technical details
Endpoint
GEThttps://goldbean-api.xyz/paid/baidu-asr?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need pay-per-call Baidu ASR transcription without a long-term contract or subscription, especially when processing occasional audio files at low cost ($0.002/call). It is well-suited for agents that occasionally need speech-to-text and want to leverage Baidu's recognition quality for Mandarin Chinese or other supported languages without provisioning Baidu API credentials directly.
Side effects
- Unsupported audio format or encoding leads to empty or failed transcription
- Audio file too long or too large may result in timeout or error
- Poor audio quality or heavy background noise reduces accuracy
- Insufficient USDC balance causes payment failure and blocked request
- Language mismatch between audio and expected language code degrades accuracy
Output
Schema · Response
{
"example": {
"data": {},
"success": true
}
}Tags
x402
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