Persian (Farsi) YouTube Captions
فارسی
Add Persian (Farsi) subtitles to YouTube videos with correct RTL rendering for Iranian creators.
Native RTL Support
Most subtitle tools display Persian (Farsi) with reversed characters, broken letter connections, and incorrect text flow. CutSnap renders Persian (Farsi) using the Unicode Bidirectional Algorithm, ensuring every letter connects correctly, diacritics sit on the right base characters, and text flows right-to-left exactly as it should. The WYSIWYG editor preview and the exported video are identical — no post-processing fixes needed.
Supports Persian (Farsi) with correct cursive letter shaping and RTL alignment throughout the editor and export.
Upload your YouTube video
Drop your YouTube video into CutSnap. The platform's native format and aspect ratio are supported without any reformatting.
AI transcribes Persian (Farsi) audio
CutSnap's AI transcription engine automatically detects Persian (Farsi) speech and generates accurate, timestamped captions in seconds. No manual typing required.
Export styled Persian (Farsi) captions for YouTube
Style your captions with custom fonts, including Persian (Farsi)-script typefaces, then export a clean MP4 ready to post on YouTube. No watermark on paid plans.
Accurate Persian (Farsi) Transcription
AI transcription trained across a wide range of languages delivers high-accuracy results for Persian (Farsi) speech, including regional accents and fast-paced delivery.
Perfect for YouTube Format
CutSnap respects the native aspect ratio and resolution of YouTube content. Caption positioning is previewed at the correct dimensions so your subtitles land exactly where you intend.
WYSIWYG Export
The editor preview is a pixel-perfect match for your exported video. Every style property — font, color, size, position, and RTL text direction — is identical between what you see and what you get.
Word-Level Editing
Every transcribed word carries its own timestamp. Click any word to jump to that exact moment in the video, correct it in place, and split or merge caption blocks at precise word boundaries.
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