speechmatics-batch
Speechmatics Batch API Client
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, uses permissive MIT licensing, and offers low install friction. It is well-suited for developers who need async batch transcription with Speechmatics. The only caveat is that it is still in Beta (Development Status 4), so API or behavior changes are possible in future releases.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires SPEECHMATICS_API_KEY environment variable or explicit api_key parameter; audio file must exist and be readable.
- Low install friction with a pure-Python wheel distribution.
- Active maintenance with recent commits and a stable release cadence since June 2025.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions—you may use, modify, and distribute this package freely as long as you include the license notice.
last release 2026-06-16 (59 days) · last repo commit 2026-08-13 · 18 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 75,363 downloads/mo, #14,723 on PyPI
Alternatives
Verify before relying
import asyncio
from speechmatics.batch import AsyncClient
async def main():
async with AsyncClient() as client:
result = await client.transcribe("audio.wav")
print(result.transcript_text)
asyncio.run(main())- Whether the package handles very large audio files or has practical size limits in practice.
- Performance characteristics and typical latency for job submission and polling cycles.
- Exact retry and backoff behavior during transient API failures.
What it is and what it does
This is an async Python wrapper around the Speechmatics Batch API for speech-to-text transcription. It handles job submission, status polling, and result retrieval with built-in support for speaker diarization, multi-language translation, and summarization. The client manages authentication via environment variables or explicit API keys, including optional JWT token refresh for long-running applications.
The package is designed for developers who need to transcribe audio files asynchronously without blocking. It provides a high-level interface (simple transcribe method) for quick jobs and a lower-level API for manual job management, custom polling intervals, and fine-grained configuration. Output is available in JSON, plain text, or SRT subtitle formats.
Use it for
- Transcribe a batch of audio files with speaker labels and confidence scores in a single async workflow.
- Build a web service that accepts audio uploads and returns transcripts in multiple languages via translation.
- Monitor long-running transcription jobs with custom polling intervals and timeout handling.
- Generate SRT subtitles from audio for video content with automatic speaker identification.
- Integrate speech-to-text into a data pipeline with JWT token refresh for credential security.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, uses permissive MIT licensing, and offers low install friction. It is well-suited for developers who need async batch transcription with Speechmatics. The only caveat is that it is still in Beta (Development Status 4), so API or behavior changes are possible in future releases.
Install
speechmatics-batch on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with recent commits and a stable release cadence since June 2025. Dependencies are lightweight async libraries (aiohttp, aiofiles, typing-extensions), all widely used and well-maintained.
Requires SPEECHMATICS_API_KEY environment variable or explicit api_key parameter; audio file must exist and be readable.
License in practice
MIT license permits commercial and private use with minimal restrictions—you may use, modify, and distribute this package freely as long as you include the license notice.
Quickstart
import asyncio
from speechmatics.batch import AsyncClient
async def main():
async with AsyncClient() as client:
result = await client.transcribe("audio.wav")
print(result.transcript_text)
asyncio.run(main())Verify before relying
- Whether the package handles very large audio files or has practical size limits in practice.
- Performance characteristics and typical latency for job submission and polling cycles.
- Exact retry and backoff behavior during transient API failures.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesaiohttpaiofilestyping-extensions |
| Maintenance | Actively maintained 59 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 75,363 / month, #14,723 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.9Topic :: Multimedia :: Sound/Audio :: SpeechTopic :: Software Development :: Libraries :: Python Modules |
Evidence: speechmatics_batch-0.5.0-py3-none-any.whl
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