No conversion required
Drop the M4A in as it is. No MP3 export, no codec settings, no bitrate worries. AskSia reads M4A directly and starts transcribing in real time.
AskSia transcribes any M4A audio file into accurate, timestamped text in seconds. Drag and drop an iPhone Voice Memo, a recorded interview, a downloaded podcast episode, or any other M4A source. The transcript appears with speaker labels and an optional translation in 40+ languages, with no conversion to MP3 required. Free to start, no credit card required.
To transcribe an M4A file to text, you upload the file to AskSia and the AI processes the audio with speech recognition. There is no need to convert M4A to MP3 or WAV first. The output is a timestamped transcript with up to 10 speakers labeled automatically, ready to translate into more than 40 languages or export as TXT, DOCX, or SRT subtitles. The free plan covers M4A files up to 30 minutes, with no software to install and no credit card required.
M4A is everywhere on Apple devices: Voice Memos, GarageBand exports, AirDropped recordings, podcast downloads. AskSia handles them all directly, with the same accuracy you would expect on a higher-bitrate format.
Drop the M4A in as it is. No MP3 export, no codec settings, no bitrate worries. AskSia reads M4A directly and starts transcribing in real time.
M4A is the default format for iPhone Voice Memos. AskSia handles them with no extra steps and accurate speaker identification, useful for interviews, meetings, and dictation captured on the go.
M4A typically uses AAC compression, which preserves quality well. AskSia reaches 95% or higher accuracy on clear M4A audio thanks to context-aware processing for technical vocabulary, proper names, and academic terms.
AskSia identifies up to 10 distinct speakers in a single M4A, color-codes their turns, and timestamps each one. Rename them after the fact, for example 'Interviewer' and 'Participant 1', and the change applies to the whole transcript.
Drag the M4A into AskSia or click upload to pick it from your computer or phone. iPhone Voice Memos, GarageBand exports, and downloaded Apple Podcasts files all upload directly without conversion.
AskSia auto-detects the source language. Pick any target language for translation, and the transcriber identifies up to 10 different speakers in the recording without manual setup.
Read the transcript with timestamps and speaker labels. Search across the M4A by keyword, ask Sia for a summary or quotes, and export as TXT, DOCX, SRT, or send to Google Docs.
Drag and drop on the laptop, AirDrop and upload from your iPhone, or paste a podcast URL from anywhere. One library holds everything.
On the web, AskSia opens as a split panel with the transcript on one side and the AI chat on the other. Drop in an hour-long interview or a long Voice Memo and read along as it processes. Speaker labels are clickable, and you can search the whole recording by keyword or speaker.
Open the app, hit record, and AskSia captures audio as M4A and transcribes it in real time on your phone. Or upload an existing M4A from your iPhone Voice Memos library directly.
The default Voice Memos app on iPhone saves recordings as M4A. AskSia transcribes them directly, useful for interviews, meetings, lectures, and quick thoughts dictated on the go.
Researchers, journalists, and hiring teams record interviews on iPhone or other Apple devices and upload the M4A files. AskSia transcribes them with speaker labels and timestamps, ready to quote, code, or analyze.
M4A files from recorded lectures, study group sessions, and seminar audio transcribe with speaker identification. Search the transcript for a concept, jump to the timestamp, or translate it into a second language for review.
Apple Podcasts episodes downloaded as M4A transcribe directly without re-encoding. Useful for show notes, content repurposing, accessibility, and pulling exact quotes from long-form audio.
M4A exports from GarageBand and other Apple audio apps transcribe spoken content like songwriter demos, voiceover takes, and rough vocal scratch tracks.
M4A audio exports from FaceTime audio, conferencing apps, or call-recording tools transcribe with full speaker separation and translation in 40+ languages.
Most transcription tools are built for meetings. AskSia is built for how students actually learn: bilingual, fast-moving, context-heavy.
| Feature | AskSia Transcribe | Standard Transcription Tools |
|---|---|---|
| Real-time latency | ✓ <0.1s | ~2–5s delay |
| Simultaneous multi-language translation | ✓ 40+ languages, live | Post-processing only |
| Built-in AI chat during recording | ✓ Ask anything while live | Not available |
| Auto speaker identification | ✓ Up to 10 speakers | 2–5 speakers, often inaccurate |
| Bilingual / code-switching support | ✓ Mid-sentence detection | Single language only |
| Academic vocabulary accuracy | ✓ Context-aware | Generic dictionary |
| Auto-generate quizzes and flashcards | ✓ One-tap from any transcript | Export only |
| Browser Tab capture | ✓ No extension needed | Extension or integration required |
| Free to start | ✓ 30 min/file, unlimited sessions | Time-limited trial |
Whether it is an iPhone Voice Memo, a recorded interview, a podcast download, or a GarageBand export, AskSia transcribes any M4A file into clean text in seconds. Free to start, no credit card.