Whisper Speech Recognition
Orchestra-Research/AI-Research-SKILLs
Transcribes audio with OpenAI's Whisper: 99 languages, translation to English, language detection, six model sizes and word-level timestamps, from Python or the CLI.
Transcribe audio to text via the OpenAI-compatible transcription endpoint.
Install Telnyx Stt Python
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-stt-python -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry telnyx-stt-python --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/api/telnyx-stt-python .claude/skills/telnyx-stt-python && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "telnyx-stt-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-stt-python into .claude/skills/telnyx-stt-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-stt-python", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-stt-pythonType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-stt-python -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry telnyx-stt-python --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/api/telnyx-stt-python .agents/skills/telnyx-stt-python && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "telnyx-stt-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-stt-python into .agents/skills/telnyx-stt-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-stt-python", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-stt-python -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry telnyx-stt-python --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/api/telnyx-stt-python .cursor/skills/telnyx-stt-python && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "telnyx-stt-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-stt-python into .cursor/skills/telnyx-stt-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-stt-python", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/api/telnyx-stt-python--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-stt-python -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry telnyx-stt-python --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/api/telnyx-stt-python .gemini/skills/telnyx-stt-python && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "telnyx-stt-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-stt-python into .gemini/skills/telnyx-stt-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-stt-python", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install majiayu000/claude-skill-registry telnyx-stt-pythonInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-stt-python -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/api/telnyx-stt-python .github/skills/telnyx-stt-python && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "telnyx-stt-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-stt-python into .github/skills/telnyx-stt-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-stt-python", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill telnyx-stt-python -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry telnyx-stt-python --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/api/telnyx-stt-python .opencode/skills/telnyx-stt-python && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "telnyx-stt-python" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/api/telnyx-stt-python into .opencode/skills/telnyx-stt-python/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telnyx-stt-python", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
telnyx-stt-python- GitHub stars
- 666
- Used in
- 1 other repo
- Token cost
- ~1.4k tokens
- SKILL.md length
- 344 words
- Files
- 2
- Skills in repo
- 1,273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Transcribe audio to text via the OpenAI-compatible transcription endpoint.
- Tasks that involve Transcription
- SKILL.md covers Installation, Setup, Error Handling and Core Tasks, plus 2 more sections
- Calls pip; reaches api.telnyx.com; needs TELNYX_API_KEY
- Tasks that involve Speech recognition and synthesis
What it does
Telnyx Stt Python is an agent skill from majiayu000/claude-skill-registry. Transcribe audio to text via the OpenAI-compatible transcription endpoint. Supports multiple models, languages, and keyword biasing. Also lists available speech-to-text providers and service types.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in Media & Creative, covering Transcription and Speech recognition and synthesis. It works with Python and OpenAI. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.
When your agent uses it
- Tasks that involve Transcription
- Tasks that involve Speech recognition and synthesis
Example prompts
- “/telnyx-stt-python”
Requirements
- Python 3
- A credential in TELNYX_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.telnyx.com
Also links to:
platform.openai.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
TELNYX_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Telnyx Stt Python loads about 1.4k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 344 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 344 words, ~1,394 tokens.
Download SKILL.mdSave it as
.claude/skills/telnyx-stt-python/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- telnyx-stt-python
- description
- Transcribe audio to text via the OpenAI-compatible transcription endpoint. Supports multiple models, languages, and keyword biasing. Also lists available speech-to-text providers and service types.
- metadata.author
- telnyx
- metadata.product
- stt
- metadata.language
- python
Telnyx Speech-to-Text - Python
Installation
pip install telnyxSetup
import os
from telnyx import Telnyx
client = Telnyx(
api_key=os.environ.get("TELNYX_API_KEY"),
)All examples below assume client is already initialized as shown above.
Error Handling
All API calls can fail with network errors, rate limits (429), validation errors (422), or authentication errors (401). Always handle errors in production code:
import telnyx
try:
response = client.ai.audio.transcribe(
model="openai/whisper-large-v3-turbo",
url="https://example.com/audio.mp3",
)
except telnyx.APIConnectionError:
print("Network error — check connectivity and retry")
except telnyx.RateLimitError:
import time
time.sleep(1)
except telnyx.APIStatusError as e:
print(f"API error {e.status_code}: {e.message}")Common error codes: 401 invalid API key, 403 insufficient permissions,
404 resource not found, 422 validation error, 429 rate limited.
Core Tasks
Transcribe speech to text
Transcribe an audio file to text. This endpoint is consistent with the OpenAI Transcription API and may be used with the OpenAI JS or Python SDK.
POST /ai/audio/transcriptions
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string (URL) | Yes | URL of the audio file to transcribe. |
model | string | No | Model ID (e.g., openai/whisper-large-v3-turbo, distil-whisper/distil-large-v2). |
language | string | No | Language code (e.g., en, es, fr). |
prompt | string | No | Optional prompt to guide transcription style. |
response_format | enum | No | json, text, srt, verbose_json, vtt. Default: json. |
temperature | number | No | Sampling temperature (0-1). Default: 0. |
keywords | array[string] | No | Keyword biasing — improve accuracy for domain-specific terms. |
# Basic transcription
response = client.ai.audio.transcribe(
url="https://example.com/audio.mp3",
)
print(response.text)
# With specific model and language
response = client.ai.audio.transcribe(
url="https://example.com/audio.mp3",
model="openai/whisper-large-v3-turbo",
language="es",
)
print(response.text)
# With keyword biasing for domain-specific terms
response = client.ai.audio.transcribe(
url="https://example.com/audio.mp3",
keywords=["Telnyx", "API", "WebRTC", "SIP"],
)
print(response.text)
# Verbose JSON with segments
response = client.ai.audio.transcribe(
url="https://example.com/audio.mp3",
response_format="verbose_json",
)
for segment in response.segments:
print(f"[{segment.start:.1f}s - {segment.end:.1f}s] {segment.text}")Primary response fields:
response.text— Full transcription textresponse.duration— Audio duration in secondsresponse.segments— Array of segment objects (withstart,end,text) when usingverbose_jsonformat
List available STT providers
Retrieve a list of available speech-to-text providers and their service types.
GET /ai/audio/transcriptions/providers
response = client.ai.audio.list_providers()
for provider in response.providers:
print(f"{provider['name']} — {provider['service_type']}")
# Filter by provider name
response = client.ai.audio.list_providers(provider="telnyx")
for provider in response.providers:
print(f"{provider['name']} — {provider['service_type']}")
# Filter by service type
response = client.ai.audio.list_providers(service_type="transcription")
for provider in response.providers:
print(f"{provider['name']} — {provider['service_type']}")Primary response fields:
response.providers— Array of provider objects withnameandservice_type
CLI Usage
The Telnyx Agent CLI provides composite commands for STT:
# Transcribe audio
telnyx-agent stt --audio-url https://example.com/audio.mp3 --json
# With specific model and language
telnyx-agent stt --audio-url https://example.com/audio.mp3 --model openai/whisper-large-v3-turbo --language es --json
# List available providers
telnyx-agent stt-providers --json
# Filter by provider or service type
telnyx-agent stt-providers --provider telnyx --service-type transcription --jsonImportant Notes
- Audio URL: The audio file must be publicly accessible via a URL. Supported formats include mp3, mp4, mpeg, mpga, m4a, wav, and webm.
- OpenAI compatibility: The transcription endpoint is OpenAI-compatible — you can use the OpenAI Python or JS SDK by setting the base URL to
https://api.telnyx.com/v2/ai/openai. - Keyword biasing: Use
keywordsto improve transcription accuracy for domain-specific terms, product names, or acronyms that generic models may mishear. - Models: Available models include
openai/whisper-large-v3-turbo(fast, accurate) anddistil-whisper/distil-large-v2(lightweight). Checkstt-providersfor the full list. - Languages: Use ISO 639-1 codes (
en,es,fr,de,ja, etc.). Omit to auto-detect. - Response formats: Use
verbose_jsonto get timestamps and segments. Usesrtorvttfor subtitle files.
© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/api/telnyx-stt-python of majiayu000/claude-skill-registry.
- SKILL.md
- metadata.json
Open the folder on GitHubat commit 2d14a69
Used in 1 other repository
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Telnyx Stt Python next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Telnyx Stt Python this skillmajiayu000/claude-skill-registry | 666 | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Whisper Speech RecognitionOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~1.9k | Automated safety check: Notes | MIT | |
| Claude Real VideoHUANGCHIHHUNGLeo/claude-real-video | 2.2k | — | ~639 | Automated safety check: Pass | MIT | |
| 9Router Speech-to-Textdecolua/9router | 30k | — | ~745 | Automated safety check: Pass | MIT | |
| Claude Real Video For AgentsHUANGCHIHHUNGLeo/claude-real-video | 2.2k | — | ~2k | Automated safety check: Notes | MIT | |
| Video To NotesKIRVO-REPORTING/video-to-notes | 105 | — | ~1.5k | Automated safety check: Pass | MIT |
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HUANGCHIHHUNGLeo/claude-real-video
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9Router Speech-to-Text
decolua/9router
Transcribes audio files into text or subtitles through 9Router's Whisper-compatible endpoint, using models from OpenAI, Groq, Gemini, Deepgram and others.
Claude Real Video For Agents
HUANGCHIHHUNGLeo/claude-real-video
Install and use crv (claude-real-video) — a tool that lets any AI agent watch videos by extracting scene-aware keyframes, deduplicating them, and transcribing audio.
Video To Notes
KIRVO-REPORTING/video-to-notes
Use immediately for any bare YouTube or YouTube Shorts URL, youtu.be link, Bilibili or b23.tv link, or other video URL; do not ask what the user wants.
Openai Whisper API
openclaw/openclaw
OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.
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Related
Categories
Questions about Telnyx Stt Python
What does Telnyx Stt Python do?
Transcribe audio to text via the OpenAI-compatible transcription endpoint. Telnyx Stt Python is an agent skill from majiayu000/claude-skill-registry. Transcribe audio to text via the OpenAI-compatible transcription endpoint.
When should I use Telnyx Stt Python?
Telnyx Stt Python fits situations like: tasks that involve Transcription; tasks that involve Speech recognition and synthesis.
How do I install Telnyx Stt Python in Claude Code?
Run `npx skills add majiayu000/claude-skill-registry --skill telnyx-stt-python -a claude-code`. Or copy the skill folder (skills/api/telnyx-stt-python in majiayu000/claude-skill-registry) into .claude/skills/telnyx-stt-python in your project. Claude Code loads it when a task matches its description.
How do I install Telnyx Stt Python in Codex?
Run `npx skills add majiayu000/claude-skill-registry --skill telnyx-stt-python -a codex`. Or copy the skill folder (skills/api/telnyx-stt-python in majiayu000/claude-skill-registry) into .agents/skills/telnyx-stt-python in your project. Codex loads it when a task matches its description.
Can I use Telnyx Stt Python in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill telnyx-stt-python -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/telnyx-stt-python, .gemini/skills/telnyx-stt-python, .github/skills/telnyx-stt-python and .opencode/skills/telnyx-stt-python in your project.
What does Telnyx Stt Python need to run?
Going by SKILL.md and its folder, Telnyx Stt Python needs the command-line tools its instructions call (pip) and credentials named TELNYX_API_KEY. Our summary lists: Python 3; A credential in TELNYX_API_KEY.
Does Telnyx Stt Python access the network?
SKILL.md names 2 domains. In commands or code: api.telnyx.com; the agent is likely to contact it when it follows the instructions. As links in the text: platform.openai.com. This is read from the text; nothing was executed.
Is Telnyx Stt Python safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Telnyx Stt Python use?
Telnyx Stt Python is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Telnyx Stt Python use?
About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Telnyx Stt Python?
Skills that share tags, products or a category with Telnyx Stt Python: Whisper Speech Recognition (Orchestra-Research/AI-Research-SKILLs, 13k stars), Claude Real Video (HUANGCHIHHUNGLeo/claude-real-video, 2.2k stars), 9Router Speech-to-Text (decolua/9router, 30k stars) and Claude Real Video For Agents (HUANGCHIHHUNGLeo/claude-real-video, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Telnyx Stt Python?
majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.
Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.