Guides, benchmarks, and tutorials

Practical content on AI transcription, voice workflows, and audio technology.

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Comparison March 2025 · 9 min

AI transcription accuracy in 2025: benchmarks across 8 engines

We tested Whisper large-v3, AssemblyAI, Deepgram Nova-2, and 5 others on 120 hours of diverse audio. Here's what the numbers actually say.

Use case March 2025 · 7 min

Podcast SEO: why transcripts are your biggest untapped traffic channel

Podcasts are terrible for SEO. Transcripts fix that. Here's the complete playbook: how to generate them, where to publish, and which formats Google rewards.

Guide February 2025 · 5 min

SRT vs VTT: which subtitle format should you use?

SRT and VTT both store captions — but they're not interchangeable. This guide covers formatting rules, browser support, encoding gotchas, and when each format wins.

Developer February 2025 · 11 min

Building with the Orpheus transcription API: a practical guide

Sync vs async transcription, webhook patterns, recoverable uploads, and how to handle rate limits — everything you need to integrate voice-to-text into your product.

Use case January 2025 · 6 min

Stop taking meeting notes manually: the complete automation guide

Recording + transcription + AI summary = meeting notes your team will actually read. We'll walk through the full stack with real examples.

Industry January 2025 · 8 min

AI transcription for legal work: accuracy, compliance, and real-world limits

Depositions, client calls, and court hearings have zero tolerance for errors. We tested AI transcription against a professional human service on 40 legal recordings.

Compliance December 2024 · 10 min

GDPR and audio recording: what you actually need to know

Most audio recording guides skip the legal part. This one doesn't. Consent requirements, processing lawful basis, retention limits, and what to put in your privacy notice.

Guide December 2024 · 6 min

Transcribing multilingual audio: code-switching, accents, and 100+ languages

Language auto-detection is a solved problem — most of the time. Here's what breaks it, and how to get reliable results from interviews, calls, and media in multiple languages.

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