A clip is assembled in layers, and models work the same way. Picture, voice, on-screen text and translation are four independent jobs, and asking for all of them in one shot gives you something you cannot revise in parts. With the layers separated you can redo only the voice-over or only the translation without rebuilding the footage. For a business that matters more than the quality of any single frame, because revisions always come.
A video model creates short scenes from a text description or animates a still image. It usually holds up for a few seconds, so clips are assembled from short pieces rather than requested as a whole minute. This part drives both cost and time: video takes far longer to compute than images and needs a serious graphics card. Without it you are back to stock footage and filming.
Text-to-video and image-to-video; the small version runs on a gaming GPU. After 2.2 only applied models are open: editing (VACE), audio-driven talking characters (S2V), dancing to music (Dancer).
Tencent's video model, one of the first open ones on par with closed services. Version 1.5 is lighter (8.3B) and runs on consumer GPUs.
A fast video model; with LTX-2 it generates video with sound and speech in one go. Camera and pose control, lightweight versions available.
Speech synthesis reads the script in a chosen voice at the pace and pauses you set. This is where recognisability is decided: the same voice across all your clips works as part of the brand. Cloning someone else without their permission is not on, and that is a legal question rather than a technical one, described here in general terms with a lawyer reviewing your case. Without this part every text edit needs a voice actor.
A voice cloning model that needs only a few seconds of a sample, in English and Chinese. The community has released many fine-tuned versions for other languages, including Russian.
Speech synthesis with voice cloning from a short sample and streaming output for live dialogue. Version 3 supports 9 languages, including Russian.
A popular model for cloning a voice from a short sample in 17 languages, including Russian. Coqui has shut down and development has stopped.
Speech recognition turns the finished voice-over back into text with timestamps, which gives subtitles that match the audio frame for frame. It looks redundant since you already have the script, but narration has pauses and feed viewers watch with the sound off. Without subtitles half of a social audience never reaches the point of the clip.
Speech recognition in 99 languages, including Russian. The de facto standard for transcribing calls and meetings. Hugging Face's faster Distil-Whisper is English only.
Speech recognition models from the Qwen team for 50+ languages, including Russian. They handle noise, singing and accents well.
A translation model carries the script and subtitles into other languages, and the same clip is then re-voiced from step two. The result is a variant rather than a new shoot, and the cost of entering a neighbouring market drops to the cost of voice-over. Without this part every language becomes its own production cycle with its own contractor and schedule.
A compact ByteDance translator for 28 languages, close in quality to large closed systems. Russian is supported. Ready-made compressed versions are available.
A translator for 200 languages, including rare and minor ones. Russian is supported. Strong language coverage, but the license prohibits commercial use.
Language models tailored for translation and multilingual text work: translating, editing, and assessing translation quality. Russian is supported. Non-commercial license.
Expectations are usually too high on two points: scene length and control. A model does not hand you the exact shot on the first try, so budget for iterations rather than a single request. Agree in advance where your line is: a real person in frame, someone else brand, an employee voice. Rights to generated material, labelling of synthetic content and use of someone likeness are covered here in general terms only, with a lawyer reviewing the specific case.
An open model can run on your own server: data stays in-house, there is no per-request fee, and the model can be fine-tuned on your documents.
