Can Anjin process video in any language?

Yes. Anjin automatically detects the spoken language and creates a timed transcript so the source can enter the same search, planning and editing workflow.

How does multilingual video editing work?

Anjin detects the source language, transcribes the original speech with word-level timing and uses that transcript to retrieve and compose relevant recorded moments.

Does Anjin translate or dub videos?

Not currently. Language-aware editing processes and edits the original spoken language accurately, but it does not translate dialogue or generate dubbed voices.

What caption formats are available?

Transcript and render workflows provide SRT and WebVTT caption files, with additional styled caption and edit sidecars available in completed render results.

Video intelligence

Bring content in any language.
Get an accurate, editable transcript.

Anjin automatically detects the spoken language, accurately transcribes the recording and makes its words searchable and editable without forcing every source through an English-only workflow.

Create an edit See pricing

One video or an entire archive.

Multilingual source processingLANGUAGE · AUTO

ESDETECTED

Español

La historia empieza aquí

WORD TIMED0.98

FRDETECTED

Français

C'est le moment décisif

WORD TIMED0.97

DEDETECTED

Deutsch

Das verändert alles

WORD TIMED0.99

01DETECT

Identify the spoken language

02TRANSCRIBE

Time every recognised word

03COMPOSEREADY

Edit from the original speech

any spoken languagenative transcriptSRT + VTT

What is multilingual AI video editing?

AI video editing that can process, transcribe and compose spoken content in any language.

Language detection is stored with the transcript, while every recognised word retains timing, confidence and speaker data. The resulting edit remains traceable to exact positions in the original recording.

Controls and evidence

See what the system used and produced.

Useful automation leaves something a person can inspect. Anjin keeps the edit connected to its brief, source media and output settings.

LANGUAGE-AWARE EDITINGVERIFIABLE OUTPUT

language: The spoken language automatically detected from the recording.
words: Accurately recognised words with individual timing and confidence.
speakers: Diarised labels retained beside the native-language speech.
captions: SRT and VTT files generated from the timed transcript.

Why it matters

More control, less timeline work.

Process global content

Bring interviews, podcasts and recordings into one workflow regardless of spoken language.

Edit from accurate text

Search and review a timed transcript instead of navigating unfamiliar footage by eye.

Preserve the original speech

Keep every selected word connected to its native-language source and exact timecode.

Fit and boundaries

Use the capability where it genuinely helps.

Anjin is strongest on speech-led recorded material where the editorial job can be described clearly and every selected moment needs to remain verifiable. It supports human judgement with searchable evidence, a reviewable plan and structured outputs.

A strong fit

Recorded knowledge with a story inside it

Interviews, podcasts, webinars, discussions and archive programmes benefit when the useful material is distributed across a long recording or several selected sessions.

Keep elsewhere

Final craft and image-led montage

Detailed colour, sound design, motion graphics and wordless visual storytelling remain finishing tasks for a professional editor and their preferred creative tools.

Evaluation checklist

What should you verify before adopting language-aware editing?

CHECK 01

language

Confirm that the workflow exposes this clearly: the spoken language automatically detected from the recording.

CHECK 02

words

Confirm that the workflow exposes this clearly: accurately recognised words with individual timing and confidence.

CHECK 03

speakers

Confirm that the workflow exposes this clearly: diarised labels retained beside the native-language speech.

CHECK 04

captions

Confirm that the workflow exposes this clearly: sRT and VTT files generated from the timed transcript.

Continue exploring

Word-level transcriptsSee the timing and confidence data behind multilingual editing.Explore →Captions and sidecarsExplore caption formats and structured render outputs.Explore →APIBuild multilingual video workflows into your product.Explore →

Put it into practice

Start with a complete editing brief.

View all edit briefs →

Multilingual subtitled editCreate an accurately transcribed and reviewable subtitled edit in the source language.Open the brief →Panel discussion argumentCompose a coherent argument across several speakers while preserving attribution.Open the brief →

Questions about language-aware editing

Can Anjin process video in any language?: Yes. Anjin automatically detects the spoken language and creates a timed transcript so the source can enter the same search, planning and editing workflow.
How does multilingual video editing work?: Anjin detects the source language, transcribes the original speech with word-level timing and uses that transcript to retrieve and compose relevant recorded moments.
Does Anjin translate or dub videos?: Not currently. Language-aware editing processes and edits the original spoken language accurately, but it does not translate dialogue or generate dubbed voices.
What caption formats are available?: Transcript and render workflows provide SRT and WebVTT caption files, with additional styled caption and edit sidecars available in completed render results.

Use language-aware editing in your next edit.

Start with footage you already have and a clear description of the result you need.