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Arabic-first voice AI platform. Streaming text-to-speech, dialect-aware speech-to-text, and voice cloning APIs. 15 Arabic dialects, 30+ languages, 113 ms TTS first-byte, 4 live regions across GCC + EU.
The speech intelligence layer the Arabic internet has been waiting for.
Hakim gives developers and creators state-of-the-art TTS, STT, and voice cloning — built natively for Arabic, not retrofitted from English. Most voice APIs treat Arabic as an afterthought. Hakim was designed around it from day one: 15 Arabic dialects (Gulf, Egyptian, Levantine, Moroccan, Iraqi, and more), native diacritics handling, right-to-left text, and Arabic-English code-switching in the same sentence.
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About Hakim AI on Product Hunt
“Speech Models Designed for Agentic AI”
Hakim AI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #117 on the daily leaderboard. Arabic-first voice AI platform. Streaming text-to-speech, dialect-aware speech-to-text, and voice cloning APIs. 15 Arabic dialects, 30+ languages, 113 ms TTS first-byte, 4 live regions across GCC + EU.
Hakim AI was featured in API (98.3k followers), SaaS (42.5k followers) and Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 156.3k products, making this a competitive space to launch in.
Who hunted Hakim AI?
Hakim AI was hunted by Kyle Pallo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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