Convert Arabic audio to text
Arabic speech transcribed to proper right-to-left script, with English translation available on Pro.
Free: 60 min per 30 days, files up to 30 min / 50 MB · Paid plans: 10 to 100 hrs, files up to 2 GB. Big video? Upload just its audio track: same transcript, much faster upload.
Encrypted in transit · audio & video auto-delete in 30 days · never used to train AI
Optional settings
Set this for the most accurate result on quiet or mixed audio.
Get a second copy translated into another language (Pro).
Uncommon words the AI might misspell. List them so they come out right.
Last updated 21 July 2026
Arabic transcription is underserved by mainstream tools: right-to-left script, regional dialects and sparse training data defeat casual efforts. Trustample transcribes Modern Standard Arabic and widely-spoken dialect audio into proper Arabic script.
Journalists, researchers and community organizations pair it with Pro translation: an Arabic interview becomes both an Arabic transcript and an English working translation from one upload, following the two-step workflow in how to translate audio to text.
The same engine covers the two kinds of Arabic audio people actually bring. Formal Modern Standard Arabic (broadcasts, lectures, official speeches) is where accuracy is strongest, because MSA is consistent across the Arab world and formal audio tends to be well recorded. Everyday dialect speech (voice notes, family recordings, street interviews) varies more, both because dialects differ from Morocco to Iraq and because phone microphones are what they are. Knowing that split up front helps you budget the editing pass instead of being surprised by it.
Set the spoken language to Arabic before uploading; for Arabic more than most languages, explicit selection beats auto-detect, especially on dialect speech. Starting is free, with an hour of transcription every month in files up to 30 minutes, TXT export and nothing billed: enough to learn how your dialect and your microphone fare before committing a batch of interviews.
How it works
- 1Set 'Spoken language' to Arabic under the upload box.
- 2Upload the recording: interviews, lectures, voice notes.
- 3Edit inline, export, and read the English translation on Pro.
Frequently Asked Questions (FAQs)
Which Arabic dialects work best?
Modern Standard Arabic (news, formal speech, lectures) transcribes best. Widely-spoken dialects like Egyptian and Levantine work reasonably; Gulf and Maghrebi dialects are more variable. Clear audio helps every dialect.
Is the output real right-to-left Arabic script?
Yes: proper Arabic text that pastes correctly into Word and websites. TXT, DOCX, SRT and VTT all handle RTL correctly.
Can it transcribe Quranic recitation?
Recitation (tajwid) has elongations and melodic patterns that speech models mis-handle; published transcripts of recitation are a better source. Everyday speech is where Trustample helps.
Does the transcript include diacritics (tashkeel)?
No. Output is standard unvocalized Arabic, the way newspapers and business documents are written; full tashkeel marking is a specialist editorial task that no mainstream speech model performs. Short vowels stay implied by context, exactly as in normal written Arabic, and where a word would be ambiguous without them you can add the marks manually in the editor.
News broadcasts vs WhatsApp voice notes: which transcribes better?
Broadcast and lecture audio is the best case twice over: it is usually Modern Standard Arabic, and it is professionally recorded. A voice note is dialect through a phone microphone, so expect a rougher draft. Still worth uploading (save the note as an audio file and it uploads directly, OGG and M4A included); just plan a heavier inline pass.
Arabic mixed with English or French?
Common borrowed words survive. Heavy sentence-level switching, the Arabic-French weave that runs through much North African speech, is genuinely hard for every model; transcribe under Arabic when Arabic dominates, or under French when the recording is mostly French with Arabic phrases.
Does the names-and-jargon vocabulary box work for Arabic?
Not currently. The model generation that supports Arabic doesn't accept our vocabulary boosting yet, so that box is ignored for Arabic uploads. Fix names inline in the editor instead; each correction is one click and carries into every export.
An honest note: Arabic accuracy varies by dialect more than most languages: expect strong results on formal speech and more inline corrections on informal dialect-heavy recordings.
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