TTSForFree
by ttsforfree.com in AI models & inference
Generate AI voices, text-to-speech, subtitles, transcription, and video localization.
https://api.ttsforfree.com/mcp- Tools
- 21
- open to any client
- Uptime
- 100%
- last 30 days
- Response time
- 834 ms
- 903 ms slowest 5%
- Last check
- Passed
- 10 h ago, next any minute now
Reliability
Status and outage history · Atom feed · Watch with other listings
How to connect
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"ttsforfree": {
"type": "http",
"url": "https://api.ttsforfree.com/mcp"
}
}
}21 tools
- list_languages
List every language supported by TTSForFree text-to-speech. Returns language codes to pass to list_voices.
- list_voices
Search the AI voice catalog for one language. Each result has a `voice` token (v1:...) - pass it unchanged as `voice` to text_to_speech, multi_voice_to_speech or srt_to_speech. Results are sorted by popularity; `can_use=false` means the user's plan cannot use that voice. Prefer…
- get_voice_details
Get full metadata for one voice token: persona, use case, accent, pitch, styles, preview audio and credit cost.
- list_my_custom_voices
List the user's personal voices created with Voice Design (from a text prompt) or Voice Clone (from an audio sample), plus the remaining custom-voice quota. Use `voice` from the result in any speech tool.
- list_favorite_voices
List the voices the user marked as favorites, in their saved order. Check this first when the user did not name a voice.
- add_favorite_voice
Save a voice to the user's favorites (only when the user asks).
- remove_favorite_voice
Remove a voice from the user's favorites (only when the user asks).
- design_custom_voice
Create a new personal AI voice from a natural-language description (Gemini Voice Design). Uses one slot of the user's custom-voice quota - confirm with the user first. Good for a unique narrator or a character voice in a video/podcast. Returns the new `voice` token.
- get_account_status
Show the user's plan tier, remaining characters/credits, max characters per request, max blocks per multi-voice/SRT job and API rate limits. Call before large jobs.
- text_to_speech
Convert one text into one MP3 with one voice. Use for narration, voiceover scripts, articles, lessons, announcements or any audio whose length can follow the speech. Consumes credits (characters x voice rate). Returns job_id, status and audio_url when ready.
- multi_voice_to_speech
Render ordered segments, each with its own voice, into ONE merged MP3. Use for podcasts, dialogues, interviews, audio dramas or explainer videos with several speakers when there are no fixed timestamps. Consumes credits.
- srt_to_speech
Create ONE MP3 that follows a subtitle timeline: every cue starts at its timestamp and speech speed auto-fits the cue duration. Use for video voiceover, dubbing translated subtitles, YouTube localization, tutorials and any edit where audio must line up with existing video. Pass…
- get_job_status
Check a speech job created earlier. Returns status (PENDING | SUCCESS | ERROR) and audio_url once SUCCESS. Never guess or fetch an audio URL before SUCCESS.
- list_recent_jobs
List the user's most recent speech jobs with status and audio URLs, to reuse earlier audio instead of paying again.
- get_job_detail
Get a multi_voice_to_speech or srt_to_speech job with every segment: text, voice and its own audio_url, plus the merged audio. Use it to build captions or a Remotion/NLE timeline (one <Sequence> per segment; measure each file's duration in the renderer).
- create_upload_url
Get a one-time URL to upload a local video or audio file (mp4, mov, webm, mkv, mp3, wav, m4a...) up to 2 GB. Upload with HTTP PUT of the raw bytes, e.g. `curl -T video.mp4 "<upload_url>"` (valid 15 minutes), then pass `public_url` to transcribe_media or localize_video. Only…
- transcribe_media
Speech-to-text for an uploaded video or audio file: returns timestamped SRT (the timeline to rewrite, translate or re-voice with srt_to_speech). Credits are charged per second of media, measured by the server. Use language = the spoken language code from list_languages.
- get_transcription
Check a transcribe_media job and get its SRT once finished.
- estimate_video_localization
Estimate the credits to dub one video into one or more languages (speech-to-text + translation + voice + video merge) before running localize_video. Pass video_url (duration is measured) or duration_seconds.
- localize_video
Full automatic dubbing of an uploaded video: transcribe once, translate, voice every target language with its own voice and render a dubbed video per language. Each language returns an audio_url (voice track aligned to the original timeline - upload it to YouTube Studio as a…
- get_localization_status
Status of localize_video jobs: current step, and when Completed the dubbed audio_url, final_video_url and translated SRT for each language.
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Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 10 h ago | Passed | 200 | 822 ms |
| 25 h ago | Passed | 200 | 321 ms |
| 39 h ago | Passed | 200 | 348 ms |
| 2 days ago | Passed | 200 | 883 ms |
| 3 days ago | Passed | 200 | 826 ms |
Show 10 older checks
| 3 days ago | Passed | 200 | 809 ms |
| 4 days ago | Passed | 200 | 831 ms |
| 4 days ago | Passed | 200 | 840 ms |
| 5 days ago | Passed | 200 | 798 ms |
| 5 days ago | Passed | 200 | 767 ms |
| 6 days ago | Passed | 200 | 849 ms |
| 7 days ago | Passed | 200 | 814 ms |
| 7 days ago | Passed | 200 | 968 ms |
| 8 days ago | Passed | 200 | 874 ms |
| 8 days ago | Passed | 200 | 893 ms |