How Transcription Works (Fundamentals)
The fundamentals of AI transcription — accuracy and word error rate, speaker diarization, how ASR works, security, and AI vs human transcription.
16 guides
- 9m
How to Improve Transcription Accuracy
Boost your AI transcription accuracy with expert tips on audio quality, speaker clarity, and leveraging advanced tools like TranscribTxt's ElevenLabs Scribe engine. Get precise transcripts every time.
- 8m
Transcription vs Translation
Understand the key differences between transcription and translation. Learn how transcription converts speech to text in the same language, while translation converts text from one language to another. Discover their distinct uses and why accuracy matters for both.
- 8m
Why AI Transcription Makes Up Words
Discover why AI transcription tools sometimes 'hallucinate' and invent words. Learn the causes of these errors and how TranscribTxt's accuracy-first approach minimizes them for reliable transcripts.
- 9m
What Is a JSON Transcript?
Discover what a JSON transcript is, why this data-rich format is crucial for AI transcription, and how TranscribTxt leverages it for accurate, timestamped, and structured audio-to-text conversion.
- 9m
What Is a WebVTT
Discover WebVTT files: what they are, how they work for captions and subtitles, their structure, and why they're crucial for video accessibility and SEO. Learn how AI transcription tools like TranscribTxt create them efficiently.
- 7 min readm
AI vs Human Transcription: Which Is More Accurate in 2026?
AI vs human transcription compared on accuracy, speed, cost, and privacy, with an honest verdict on when each one wins and when to combine both.
- 8m
How accurate is Otter.ai?
An honest look at Otter.ai's transcription accuracy: how well it handles clean meetings vs. noisy audio, accents, and non-English, plus how to improve it.
- 7 min readm
How Does AI Transcription Work? Speech-to-Text Explained
A clear, technically honest explainer of how AI transcription works: from audio capture and acoustic features to neural speech models and post-processing.
- 7m
How Long Does It Take to Transcribe One Hour of Audio?
AI transcribes an hour of audio in about 3-8 minutes; a human typist takes around 4 hours. Here is the real total time once you add review.
- 6 min readm
Is AI Transcription Secure? What to Check Before You Upload
Whether AI transcription is secure depends on the provider's data handling: retention, training use, and encryption. Here's what to verify.
- 8m
What is speaker diarization? How AI labels who said what
A clear explainer of speaker diarization — how AI partitions audio by speaker and labels who said what, how it works, and what affects its accuracy.
- 7m
Transcription vs Captions vs Subtitles: What's the Difference?
Transcript, captions, and subtitles explained: how they differ in timing, sound cues, language, and file format — and how to produce each from one recording.
- 9m
What Is an SRT File?
An SRT file is a plain-text subtitle file containing essential information like timestamps and dialogue, crucial for video accessibility and SEO. Learn how SRT files work and how AI transcription tools like TranscribTxt make creating them easy.
- 6 min readm
What Is Automatic Speech Recognition (ASR)? A Clear Definition
Automatic speech recognition (ASR) is the technology that converts spoken language into text. Learn what ASR means, how it works, and where it's used.
- 6 min readm
What Is Word Error Rate (WER)? The Standard Transcription Accuracy Metric
Word Error Rate (WER) measures transcription accuracy as the share of words wrong. Learn the formula, a worked example, and what counts as a good WER.
- 8m
How accurate is AI transcription in 2026? (and what actually affects it)
A clear guide to AI transcription accuracy: how word error rate works, what raises or lowers accuracy, and realistic expectations for clean vs. messy audio.
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