Turn Egyptian audio
into text you can trust.

A different approach to Egyptian Arabic transcription.

Egyptian Arabic, sometimes called Masri, is the mother tongue of more than 100 million people in Egypt. It took shape after the 7th-century Arab conquest, blending Classical Arabic with Coptic, the language it largely replaced, and thanks to Egypt’s film, television, and music industry it is the dialect most widely understood across the Arab world, from Morocco to Iraq. It is also a different language in practice from Modern Standard Arabic, the written and broadcast standard, which is why generic transcription tools built for MSA routinely stumble on it.

Where Egyptian Arabic transcription usually breaks down

Most transcription tools are tuned for Modern Standard Arabic, and Egyptian Arabic gets treated as an afterthought. Colloquial contractions, English and French loanwords dropped into business calls, and Cairo street idiom all get flattened into nonsense, and tone, hesitation, or emphasis in the recording never make it into the transcript at all. Teams end up correcting entire passages by hand, which erases most of the time an automated tool was supposed to save.

Reading the recording, not just the words

Speak AI transcribes Egyptian Arabic audio and video with speaker labels and timestamps, then reads the recording itself: who is speaking, when a call switches between Arabic and English mid-sentence, and how the delivery changes across a long interview or hearing. Names, terms, and callback details are extracted into structured fields your team can search and query. Then you can ask across your entire Egyptian Arabic archive with AI chat, using ChatGPT, Claude, and Gemini built directly into the workspace.

• Egyptian Arabic audio and video, transcribed with speaker labels and translation into English or another language.
• Handles both Cairene Arabic, the dialect used in broadcast and business, and Sa’idi Arabic spoken in Upper Egypt.
• Captions and subtitles (SRT, VTT) generated straight from the timestamped transcript.
• Export to Word, PDF, TXT, CSV, or JSON, depending on how your team needs to use it.

From one file to a searchable archive

The result is an Egyptian Arabic archive that behaves like a well-run English one. Interviews, hearings, and support calls become searchable text instead of a folder of audio files nobody has time to relisten to, and dashboards you can customize and white-label track themes and volume across your Egyptian Arabic recordings over time. One multilingual education platform put its assessment recordings through this kind of workflow across embedded recorders spanning multiple languages, without hiring reviewers for each one.

And because Egyptian Arabic recordings rarely live in isolation from the rest of your work, the same engine scores calls and coaches teams on the same criteria, connecting Egyptian Arabic transcription to call scoring and the wider knowledge base your team already runs on.