MP3, MP4, WAV, M4A, FLAC — which audio and video format transcribes best, and how to convert any of them to text in minutes with AI.
Every audio and video file is a transcription waiting to happen. But not every format is equal — some preserve the signal AI needs to produce a clean transcript, others throw it away in compression.
This guide is the pillar reference for converting any audio or video file to text. It covers what each format is good for, how AI transcription handles each one, the realistic accuracy you can expect, and the exact workflow to convert each format into a clean transcript.
How AI transcription actually works on any file
Before formats, the basics. Modern AI transcription (the kind powering Verbatimly) does four things to any file you upload:
- Decodes the audio. Even video files (MP4, WEBM, AVI) get their audio track extracted automatically. You never need to convert video to audio yourself.
- Detects voice activity and separates speech from silence, noise, and music.
- Recognizes speech using a neural model trained on hundreds of thousands of hours of audio across 100+ languages.
- Formats the output — adds punctuation, timestamps, speaker labels (2–10 speakers automatic), and structured Smart Notes summaries.
What changes between formats isn't the process — it's the signal quality the model has to work with. Uncompressed formats preserve more detail; lossy formats throw some of it away.
The formats Verbatimly accepts (and what each is best for)
Audio formats
MP3 is the everyday standard. Compressed, small, universally supported. Slight quality loss vs uncompressed but plenty good for transcription. See our MP3 to text guide.
WAV is uncompressed PCM audio. Highest quality, largest file size. Professional audio capture workflows default to WAV. See our WAV to text guide.
M4A is Apple's modern compressed format — what iPhone Voice Memos exports. Quality is closer to MP3 than WAV. See our M4A to text guide and iPhone voice memo guide.
FLAC is lossless compressed audio — the best of both worlds (no quality loss, smaller files than WAV). Audiophiles and archivists like it. See our FLAC to text guide.
OGG is open-source compressed audio common in Linux and many web apps. See our OGG to text guide.
Video formats
MP4 is the modern video standard. H.264/H.265 video + AAC audio. The audio track gets extracted automatically for transcription. See our MP4 to text guide.
WEBM is the open web video format used by YouTube, browser recorders, and screen-capture tools like Loom. See our WEBM to text guide.
AVI is the legacy Windows video format. Older but still in plenty of archives. See our AVI to text guide.
Which format produces the best transcript?
Honestly: the differences are smaller than you'd think for modern AI.
| Format | Type | Typical accuracy on clean audio |
|---|---|---|
| WAV | Uncompressed | Up to 99% |
| FLAC | Lossless compressed | Up to 99% |
| M4A (AAC) | Lossy compressed | 95–99% |
| MP3 | Lossy compressed | 95–98% |
| OGG (Vorbis) | Lossy compressed | 94–98% |
| MP4 video audio | AAC audio track | 95–99% |
| WEBM video audio | Opus/Vorbis audio | 94–98% |
| AVI video audio | Varies by codec | 90–98% |
Two things matter more than format choice:
- Source recording quality — a quiet room and a decent mic beat any format upgrade.
- Language model match — picking the right language explicitly (Verbatimly supports 100+) matters more than format.
The one practical rule: don't re-encode a lossy file to another lossy format before uploading. If your original is MP3, upload the MP3 — don't convert it to WAV first (you can't recover lost detail) and don't bounce it through another MP3 export (you'll add more compression). Upload the original.
How to convert any audio or video file to text
The workflow is the same for every format.
Step 1: Upload the file
Verbatimly accepts MP3, MP4, WAV, M4A, FLAC, AVI, OGG, and WEBM. Drag and drop, or browse to upload. You can also import files from Google Drive without downloading them first — direct YouTube URL import and Zoom/Google Meet/Microsoft Teams integrations are coming soon.
Step 2: Choose the language
Verbatimly supports 100+ languages with up to 99% accuracy on clean audio. Auto-detect works for most clean recordings; pick the language manually for strong accents or code-switching content.
Step 3: Enable speaker identification (multi-speaker files only)
For interviews, podcasts, meetings, and any file with multiple voices, turn on speaker identification. Verbatimly labels 2–10 distinct speakers automatically — you can rename "Speaker 1" to the actual name once and it applies throughout.
Step 4: Optionally add custom vocabulary
If your file includes brand names, technical jargon, proper nouns, or industry-specific terms, attach a custom vocabulary set. The model uses it to boost first-pass accuracy.
Step 5: Process
Processing typically takes one minute for every 5–10 minutes of audio. A 60-minute file is usually done in under 5 minutes.
Step 6: Export to the right format
Pick your export based on what you'll do with the transcript next:
- TXT or DOCX for reading, editing, or sharing.
- SRT or VTT for video captions and subtitles.
- PDF for archival.
Beyond the transcript: AI features that come with every file
Modern AI transcription doesn't stop at words on a page. With every file Verbatimly processes, you also get:
- Smart Notes — structured summaries using presets like meeting minutes, lecture notes, sales call, legal brief, podcast summary, or research interview.
- AI Chat — ask questions of your transcript ("who said what about X?", "summarize the second half," "list every decision made"). Answers are sourced to timestamps so you can verify them.
- Action items with due dates auto-extracted from meeting-style content.
- Per-speaker analytics — talk time, speaking pace, interruptions, silence — helpful for sales coaching, research, and meeting analysis.
- Knowledge graph / mind map — a visual map of topics, decisions, and action items connected together.
File-by-file deep dives
Pick the format you're working with for a detailed walk-through:
- MP3 to text
- MP4 to text
- WAV to text
- M4A to text
- OGG to text
- WEBM to text
- FLAC to text
- AVI to text
- Convert voice memo to text (iPhone & Android)
- Transcribe iPhone Voice Memos
- Transcribe Android voice recordings
- Audio to Word document
- MP3 to SRT subtitles
Frequently asked questions
Which audio format is best for AI transcription?
WAV and FLAC technically preserve the most signal, but on modern AI models the difference vs MP3 or M4A is small on clean recordings. Pick the format that's easiest for your workflow.
Do I need to extract audio from a video file before uploading?
No. Modern transcription tools, including Verbatimly, extract audio internally from MP4, WEBM, and AVI. Upload the video directly.
What's the maximum file size I can transcribe?
Verbatimly supports large files natively — no need to split long recordings manually.
Can I transcribe a file in any language?
Yes. Verbatimly supports 100+ languages for transcription, with automatic detection and explicit selection. Translation into 90+ languages is available once you have a transcript.
Is AI transcription accurate enough to publish without editing?
For internal use, often yes. For published content, plan a quick review pass — proper nouns and technical jargon are where AI most often needs a small correction.
What's the difference between transcription and dictation?
Transcription converts pre-recorded audio to text. Dictation converts your live speech to text in real time. Most modern AI tools, including Verbatimly, support both workflows.
Can I get subtitles (SRT/VTT) from any audio or video file?
Yes. Once you have a transcript, export as SRT or VTT — Verbatimly does both from any source file format.
Start with the format you're using
Whatever file is sitting on your hard drive — MP3, MP4, WAV, M4A, FLAC, OGG, WEBM, AVI, or a YouTube link — drop it into Verbatimly free and get a clean, multi-format-ready transcript in minutes.
Frequently asked questions
WAV and FLAC technically preserve the most signal, but on modern AI models the difference vs MP3 or M4A is small on clean recordings. Pick the format that's easiest for your workflow.
