Feature

Multi-Language Video Generation

Most AI video tools swap the voice to Spanish and call it multilingual. Orange calibrates narration length, subtitle layout, on-screen casting, and publishing metadata per language. A Japanese video actually looks, sounds, and reads Japanese. Write your prompt in any of 33 languages and Orange detects and switches automatically.

How it works

1

Write in any language

Type your prompt in English, Japanese, Arabic, Thai, or any of 33 languages. No dropdown, no locale to configure. Orange detects the language on every message and the pipeline follows.

2

Pipeline localizes natively

The script is written in your language. Voices are filtered to actual native speakers. Narration length is calibrated per language from real speech-rate data, so a 30-second Japanese video is 30 seconds, not 18.

3

Visuals and metadata match

Image prompts pick culturally-appropriate casting. Subtitles render with the right fonts and line-breaks for your script. Title, description, and hashtags come out in the target language, ready to paste into TikTok or YouTube.

Why it matters

33 languages, auto-detected

Latin, Cyrillic, Greek, CJK, Thai, Arabic, Hebrew, Hindi, Tamil, Vietnamese, Indonesian, Malay, Filipino, and more. Detection runs on every message, so you can switch languages mid-conversation.

Narration length calibrated per language

Naive word-splitters collapse Japanese videos from 24 seconds to 14 because text without spaces counts as one word. Orange uses dictionary-based segmentation and per-language speech rates measured from real voiceover output, so videos hit their target duration.

Native voices, not dubs

Voices are filtered to those that actually speak the detected language. No mechanical-sounding English voice reading a phonetic Japanese script.

Subtitles that render correctly

CJK, Thai, and Arabic get the right font and script-aware line-break rules. No garbled characters, no broken wrapping.

Culturally-aware visuals

The creative brief accounts for language when picking on-screen casting: ethnicity, wardrobe, cultural cues. Visuals match the audience you're writing for, unless you override it.

In-language publishing metadata

Title, description, and hashtags are generated in the target language, not auto-translated from English. Paste directly into TikTok, YouTube, or Reels.

Questions? Answers.

Everything you need to know.

33: English, Spanish, French, German, Portuguese, Italian, Polish, Hindi, Dutch, Czech, Slovak, Hungarian, Romanian, Bulgarian, Croatian, Ukrainian, Russian, Turkish, Greek, Swedish, Norwegian, Danish, Finnish, Arabic, Hebrew, Japanese, Korean, Chinese, Vietnamese, Indonesian, Malay, Filipino, and Tamil.
No. Write your prompt in Japanese, and Orange detects it, picks a native voice, generates the script in Japanese, localizes visuals, and exports metadata in Japanese. Automatic.
Most of those only swap the TTS voice. The script might be auto-translated, narration length is computed as if it were English (which makes CJK/Thai videos way too short), subtitles render in a Latin font with broken line-breaks, and publishing metadata comes out in English. Orange calibrates every stage of the pipeline per language.
Yes. The subtitle step picks a font that supports the detected script and applies script-aware line-break rules, so subtitles are readable instead of garbled.
Yes. You can tell Orange which language to use for narration, and separately set the cultural context for visuals. For example: Spanish-language narration with Japanese-appropriate casting.
Yes. Same engine, all languages. Voices are filtered to native speakers of the detected language, so quality stays consistent.

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