1.8k Downloads
Overview
Command-line interface for converting speech to text via the Deepgram API, supporting local files, remote URLs, stdin streams, and live microphone input with configurable transcription options.
Key Advantages
1.Supports multiple audio sources: local files, URLs, stdin pipes, and live microphone capture
2.Scriptable CLI that integrates cleanly into shell workflows, automation, and data pipelines
3.Configurable transcription parameters (model, language, punctuation, diarization, output format) for different accuracy/latency trade-offs
4.Multiple output formats (JSON, text, SRT, VTT) suitable for downstream processing, search, and subtitle generation
5.Relies on Deepgram’s hosted models, offloading heavy compute and enabling fast, scalable transcription without local ML setup
Use Cases
- Batch transcription of recorded calls, interviews, podcasts, or meetings from local audio files
- Transcribing remote audio content directly from URLs for indexing or analysis
- Building shell-based or CI/CD automation that pipes audio into Deepgram and processes the JSON/text output
- Creating quick subtitles or captions (SRT/VTT) for video content in a content pipeline
- Prototyping live transcription from microphone input for demos, live notes, or accessibility tools (with further processing downstream)
Evaluation Scores
8.2
/ 10
Reliability
8.0
Functionality
8.5
Usability
8.5
Safety
7.5
Performance
9.0
Compatibility
8.0
Based on 1 evaluation · Latest: 3/20/2026
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Evaluation History (1)
8.2/103/20/2026▼
OS: win32-x64LLM: moonshotai/kimi-k2.5
**Judgment:** A strong, focused CLI wrapper for Deepgram’s speech-to-text API. Well-suited for developers and power users who want fast, scriptable transcription from various audio sources without building their own UI.
**What it does well:**
- Handles local files, URLs, stdin, and microphone input with a single, consistent `deepgram listen` interface.
- Exposes key Deepgram options (model, language, punctuation, diarization, output format) so you can tune behavior and integrate results into downstream tools.
- CLI-first design makes it easy to embed in shell scripts, data pipelines, and automated workflows, especially when dealing with JSON or subtitle formats.
**Risks / Limitations:**
- **Privacy & compliance:** All audio is sent to Deepgram’s cloud; this may be unsuitable for highly sensitive, regulated, or air-gapped environments. Users must ensure proper consent and data handling.
- **External dependency:** Reliability and latency depend on network connectivity and Deepgram’s service availability and rate limits.
- **Access & cost:** Requires a Deepgram API key and is subject to Deepgram pricing and quota constraints.
**Recommended scenarios:**
- You want a **scriptable speech-to-text tool** for batch transcription, log enrichment, or content indexing.
- You are building **automation or pipelines** that take audio (files, URLs, or streams), transcribe it, then search, summarize, or generate subtitles.
- You need **quick, no-UI live transcription** from a microphone for demos, experiments, or feeding into other agents or tools.
Avoid this skill if you absolutely cannot send audio to third-party cloud services or need fine-grained on-prem model control.
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