Turn Lebanese audio
into subtitles you can use.

A different approach to Arabic (Lebanon) subtitling.

Arabic (Lebanon) subtitling turns spoken Lebanese Arabic in a video or audio file into timed on-screen text, so viewers who read rather than listen, viewers in a second language, and viewers watching without sound can all follow along. Media teams, educators, and researchers use it to reach audiences across Lebanon and the diaspora without a manual transcription pass.

Why manual subtitling breaks down

Most teams still hand this to a freelancer or a junior editor with a stopwatch. A 20-minute interview turns into two hours of typing, timing, and re-listening for the phrase that got missed the first time. Generic subtitle tools make it worse: many transcribe Arabic into Modern Standard Arabic by default, which reads stiff and formal next to a speaker’s actual Lebanese phrasing, so someone still has to rewrite half the file by hand.

Reading the dialect, not just the words

Speak AI transcribes your file in your language, with 100+ supported, and keeps Lebanese Arabic phrasing intact rather than flattening it into Modern Standard Arabic. Speaker names, timing, and tone are captured alongside the words: the three-layer read is the transcript itself, the voice’s tone and energy, and, where relevant, the visuals in the file. Subtitles are exported in the format your workflow needs, ready for upload.

Then the questions start. Ask across your entire Arabic (Lebanon) media library with AI chat, using ChatGPT, Claude, and Gemini built directly into the workspace, instead of scrubbing through files by hand to find one quote.

What teams subtitle in Arabic (Lebanon)

• Interviews and documentary footage recorded for Lebanese and diaspora audiences
• Marketing, product, and training videos aimed at Arabic-speaking (Lebanon) viewers
• Zoom, Teams, and Google Meet recordings with Lebanese Arabic speakers
• Podcasts, focus groups, and YouTube uploads that need SRT or VTT exports

From a raw recording to a published subtitle file

The result is a subtitle workflow that stops depending on one bilingual editor's calendar. Files move from upload to exportable SRT or VTT in the time it takes to get coffee, and 可自定义和白标的仪表板 track turnaround and volume across every language your team supports, so this month's output is measured against last month's. One legal intelligence firm put its Arabic-language carrier calls through this same workflow and processed 5,100+ hours while saving $700K无需增加人力。

And because subtitled media rarely lives alone, the same engine scores calls and coaches teams on the same recordings, connecting your Arabic (Lebanon) library to 通话评分 and structured search through MCP.