Dictem is an AI-native localization layer for creators and media studios. Upload one podcast, video, course, script or song, and Dictem helps turn it into a multilingual catalog with transcription, contextual translation, re-voicing, localized metadata and ready-to-publish assets.
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Hunter
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Hi Product Hunt π
We built Dictem for creators, educators and media teams who already have great content, but are still limited by language.
Localization is usually slow, expensive and fragmented: transcription, translation, voice work, metadata and platform packaging all happen separately.
Dictem turns one podcast, video, course, script or song into a multilingual catalog. Upload the original, translate it in context, re-voice it, and package versions that are ready to publish.
We would love feedback from creators, podcasters, educators, media studios and anyone building for global audiences.
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this looks really useful for solo creators like me who can't afford full localization teams. one thing i'd love to see is a way to keep speaker voices consistent across languages, like picking a reference clip so the re-voicing sounds closer to the original person's tone and pacing. that would honestly be a game changer for podcasts where the host's voice is part of the brand.
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Tried it on a 40-minute podcast episode and the contextual translation actually kept the tone intact, which I did not expect. The re-voicing still sounds a bit robotic in longer segments, but the metadata alone saves me hours each week.
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The re-voicing step is a nice touch β most tools stop at subtitles, so seeing it actually reshape delivery for each market feels like real attention to craft.
this looks really useful for solo creators like me who can't afford full localization teams. one thing i'd love to see is a way to keep speaker voices consistent across languages, like picking a reference clip so the re-voicing sounds closer to the original person's tone and pacing. that would honestly be a game changer for podcasts where the host's voice is part of the brand.
Tried it on a 40-minute podcast episode and the contextual translation actually kept the tone intact, which I did not expect. The re-voicing still sounds a bit robotic in longer segments, but the metadata alone saves me hours each week.
The re-voicing step is a nice touch β most tools stop at subtitles, so seeing it actually reshape delivery for each market feels like real attention to craft.