Topic
transcription
Posts tagged "transcription".

Burmese Speech to Text in 2026: What Accuracy Really Looks Like
Off-the-shelf Whisper returned empty transcripts on 28 of 30 clean Burmese clips in one test. Here is what fine-tuned models achieve, why CER matters, and how to test before you commit.

Voice Note to Text in Nigerian English: 6 Options Compared
Standard speech-to-text often struggles with Nigerian accents, phone-quality audio and mid-sentence switches into Pidgin, Yoruba or Hausa. Here is what to use instead, what it costs, and how to test it.

Fathom AI Alternative: 7 Options for Multilingual Meetings
Fathom works well for English video calls. If your meetings mix languages or happen in person, these alternatives differ on language depth, code-switching, capture method and price.

Chinese Speech to Text Free Online: 7 Tools for Mandarin Audio
Seven free Mandarin transcription tools compared by allowance, signup, privacy and output, plus how to avoid tone, dialect and Simplified/Traditional errors.

Transcribe Google Meet Without a Bot: 4 Methods That Work
You can transcribe a Google Meet call without an AI bot joining. Here are four methods, what each one needs, where each one breaks, and how to handle consent and mixed-language meetings.

Pay as You Go Audio Transcription: 9 Tools Priced per Hour
Nine pay-as-you-go transcription tools compared on hourly rate, minimum fees, credit expiry and free trials, with break-even math against a $16.99 monthly plan.

Transcribe Video to Text: Audio Tricks for Slow Connections
Transcription tools only read the audio in your video. Here is how to use that to upload less, pick TXT or SRT correctly, and fix errors from accents and mixed languages.

Qualitative Research Interview Transcription Without Losing Weeks
Typing interviews by hand can cost 3 to 10 hours per hour of audio. Here is a workflow that pairs a machine draft with structured checking, so your transcripts stay defensible and your timeline stays intact.

Interview Transcription: Styles, Formatting and a Two-Pass Check
How to choose a transcription style, format speaker labels and timestamps, verify an AI draft in two passes, and handle anonymization and mixed-language audio.

How to Transcribe Audio to Text: 5 Methods Compared (2026)
Five ways to turn a recording into text: typing, Word, cloud AI, local models and human transcribers. Costs, privacy trade-offs, and what to fix before you start.

Multilingual Meeting Transcription: What Actually Works
AI can transcribe meetings in two languages, but 'multilingual' on a feature list can mean four different things. Here is what each one delivers, where it breaks, and how to work around it.

How to Transcribe Google Meet: Steps, Limits and Fallbacks
Google Meet has a built-in transcript, but only on certain Workspace plans and in eight languages. Here are the exact steps, where the file goes, and what to do when the button is missing.

Meeting Transcription Without Bot: How It Works and What to Check
You can transcribe Zoom, Meet and Teams calls without a bot in the participant list. Here is how capture works, where it fails, what the law still requires, and how language support changes the choice.

Granola Alternatives for Multilingual and Mixed-Language Meetings
Granola is a good notepad, but its language coverage, jargon handling and audio policy trip up multilingual teams. Here is how six alternatives compare, and how to choose.

Why Burmese-English Code-Switching Breaks Transcription Tools
Most transcription tools fail on Burmese meetings where English terms appear mid-sentence. Here is why it happens, how to measure it, and what helps.

Otter AI Alternative for Teams That Switch Languages Mid-Meeting
Otter.ai covers six languages and expects one per recording. Here is how Fireflies, Notta, Fathom, tl;dv and Loka Note compare for teams that mix languages, plus a way to test them.

How to Transcribe Burmese Audio Accurately, Step by Step
Generic speech models still make many errors on Burmese. Here is how to prepare audio, pick an engine, fix Unicode problems, and measure accuracy honestly.