AI video translation

Should a machine or a professional translate your video?

Choose AI video translation when you need many videos translated quickly and cheaply and a fluent person can check the result; choose a professional human translator when errors carry legal, medical, safety or reputational risk, or when the script needs creative adaptation rather than translation. For a large share of projects the answer is both: an AI draft, reviewed and corrected by a person. This guide compares the two on turnaround, cost structure and quality, and shows where the line falls.

6 min read · Updated

The decision in one table

The two approaches fail in different ways, so the right choice depends less on which is better in general and more on what a mistake would cost you.

Turnaround
AI: one processing run, then optional review. Human: scheduled work, often with several handoffs.
Cost structure
AI: a per-minute price for compute. Human: per-word or per-minute labor plus project management, and studio time for dubbing.
Typical errors
AI: misheard terms, literal idioms, uneven terminology. Human: occasional slips, but meaning and tone are judged by a person.
Adaptation
AI: translates what was said. Human: can rewrite for culture, humor and audience.
Scale
AI: the hundredth video costs the same effort as the first. Human: capacity scales with people and budget.

Turnaround: processing time versus a production schedule

An AI run is bounded by processing, which for most files means minutes to a few hours depending on length and whether a voice is generated. A professional project is bounded by people: a quote, a scheduled translator, a reviewer, and for dubbing, casting and recording sessions. Timelines vary widely between vendors and scopes, so ask for a schedule rather than assuming one. The practical difference is that AI lets you translate on the day you publish, whereas a human workflow has to be planned into the release calendar. The article on how long video translation takes breaks down both timelines.

Cost structure: what you are actually paying for

With AI you pay for compute per minute of audio. In mydubly that is 50 credits per minute for a translated voice track plus subtitles and transcripts, or 1 credit per minute for subtitles and transcripts alone, where 1,000 credits cost $1. A 30-minute video dubbed into one language is 1,500 credits, or $1.50.

With professional translation you pay for skilled time: transcription, translation, review and, for dubbing, voice talent, direction, studio time and mixing. Rates depend on language pair, subject, turnaround and vendor, so get quotes for your own material. What matters for the decision is the shape of the cost. Human cost scales with every minute and every language; AI cost is small enough per minute that the dominant expense becomes the review you choose to add on top. For a full cost breakdown, see the video translation cost guide.

Quality: where machines and people go wrong differently

Machines are consistent in their weaknesses. Clear, literal, instructional speech usually comes through well. The trouble spots are predictable: product names and acronyms the recognizer has never heard, idioms and jokes rendered word for word, the choice between formal and informal address, and terminology that drifts across a long video. A synthetic voice also cannot act; it reads.

People make fewer meaning errors and catch context a model misses: that a speaker is being sarcastic, that a term has a fixed translation in your industry, that an example won't land in the target culture. Their weaknesses are cost, capacity and variability between individuals. A rushed or underqualified human translation can be worse than a reviewed machine draft.

Content that always needs a professional

Some material should go to a qualified human translator, with AI at most as a reference draft:

  • Legal content, contracts, testimony or anything submitted to a court or regulator.
  • Medical, pharmaceutical and clinical instructions, where a mistranslated dose or warning can cause harm.
  • Workplace safety training for hazardous equipment or procedures.
  • Financial disclosures and other regulated communications.
  • Brand campaigns built on wordplay, slogans or cultural references that need transcreation.
  • Broadcast or cinema dubbing where viewers expect lip-sync and acted performances (the trade-offs are covered in AI dubbing vs human dubbing).
  • Sensitive community communication, such as health messaging or crisis updates, where tone and trust matter as much as accuracy.

The hybrid workflow: AI draft, human review

For most business, education and creator content, the efficient answer is to let the machine do the first draft and pay a person only for judgment.

  1. Run the video through AI translation and download both transcripts and the subtitle files.
  2. Have a fluent reviewer read the translated transcript against the source transcript, starting with names, numbers and key terms.
  3. Correct the subtitle file directly; it is plain text with timestamps.
  4. Watch the dubbed version at the points the reviewer flagged. If a voiced error is serious, decide whether to re-run after fixing the source audio, publish with corrected subtitles, or send that video to a professional.
  5. Keep a running glossary of corrections so the next video's review goes faster; translating names and technical terms explains how to build one.
Illustration: a 45-minute webinar going to German

Suppose a software company wants a German version of a 45-minute product webinar. The AI pass with a voice track costs 2,250 credits, or $2.25. A German-speaking account manager spends about an hour reading the translated transcript against the English one and finds a feature name translated when it should have stayed in English, plus one sentence where informal address slipped in. Both are fixed in the subtitle file. The team judges the voiced feature name acceptable and publishes, then adds the feature name to a glossary for the next webinar.

The reviewer's hour is now the main cost, and it buys the thing machines lack: someone who knows what the company meant.

Risks of skipping human review

Publishing raw AI output is a reasonable choice for low-stakes content, but be clear about what you are accepting. A mistranslated claim in a marketing video is still your claim. A garbled instruction in training content can be followed. A tone-deaf phrase in a community message can cost trust that a correction won't restore. And because the voice sounds fluent, viewers have no cue that a sentence might be wrong. If no one on your team reads the target language, consider subtitles over a voice track for anything important, so that bilingual viewers can at least spot problems and tell you. The subtitle generator produces those files on their own.

Where mydubly fits in the decision

mydubly is built for the AI side of this comparison and for the draft stage of a hybrid workflow. It produces the translated MP4, translated audio, SRT and VTT subtitles, and transcripts in both languages in one run, which gives a reviewer everything needed to check the work. It does not offer human translation, lip-sync, voice cloning or speaker-by-speaker voices, so projects that need those belong with a professional vendor. Teams handling confidential material may also care that the video file stays on the device and only the audio is uploaded, as described on the private video translation page.

Making the call for your project

Ask two questions: what does a mistake cost, and does anyone fluent have time to review? Low cost and a reviewer available points to AI with review. High cost points to a professional. If you want to see how a machine draft of your own content reads before deciding, translate a representative clip with the video translator and give the transcripts to the person who would review it.

Frequently asked questions

Can AI video translation replace a professional translator?

For everyday, instructional and internal content, a reviewed AI draft often does the job. For legal, medical, safety-critical, regulated or creatively adapted content, it should not replace a qualified translator.

Is it cheaper to hire a translator to fix an AI draft than to translate from scratch?

Often, because reviewing and correcting usually takes less time than translating. It depends on the draft's quality for your material, so test a sample and ask the reviewer how long it took before committing a whole library.

Do professional translators use AI themselves?

Many use machine translation as a starting point and post-edit it, especially for high-volume work. Ask your vendor how they work and how they review, since practices vary.

What should a reviewer check first in an AI-translated video?

Names, numbers, product terms and any sentence that makes a claim or gives an instruction. Those are where errors are both most likely and most costly. Style can be polished later or left alone.

Should I tell viewers a video was translated with AI?

It is good practice, and some platforms have their own disclosure rules for synthetic voices, so check the policies where you publish. A short note such as 'translated with AI voice' also sets expectations for occasional awkward phrasing.