
LTX is an open foundation model for video, audio, and world simulation. You get full control over your AI: run LTX locally on your own hardware, fine tune it on your own IP, and generate video and audio as one unified output instead of stitching together separate tools.
The latest model, LTX-2.5, is a 22B-parameter dual-stream diffusion transformer that generates native 4K video at up to 50fps, with synchronized audio and video produced in a single pass. Weights, code, and research are fully open, and independent benchmarking from Artificial Analysis ranks LTX among the top 3 AI video models globally.
Access LTX three ways: download the open weights and run it yourself, license the model for on-premise deployment with enterprise support, or build on LTX Studio, the production suite for creative teams and studios. Teams at ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already build on LTX.
LTX is production infrastructure for AI teams generating motion and physical environments inside their own pipelines, not a consumer app for one-off clips.
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Muzaic.ai is a web-based audio production platform for teams that publish video at volume. It takes a folder of video cuts and returns each one finished: music, sound effects, ambience and voiceover composed to fit the picture and each other, mixed and mastered to broadcast spec. Three soundtrack concepts per clip, in about 30 seconds, with commercial licensing and legal cover included.
Who it is for
Marketing teams, advertising agencies and production houses that ship dozens or hundreds of ad variants a month and need the audio step to keep pace with the rest of the pipeline.
Key capabilities
Video analysis: reads scenes, objects, pacing, colour and sentiment to build an audio plan before composing a note.
Four-layer composition: music, SFX timed to the action, ambience ducked under speech, voiceover drafted from the brief; original source audio preserved where wanted.
Batch processing: drag in single cuts or a whole folder (MP4, MOV); each clip queues with its length.
Campaign briefs: one brief per campaign with up to four style tags and five direction sliders drives every clip.
Versioning: up to three concepts per clip, side by side, each with its own status.
Review and approval: shareable client review links replace email rounds; status tracking per campaign.
Localisation: language versions of a finished mix in one click.
Export: MP3 and WAV; downloads unlimited on every plan.
Licensing: 100% commercial licence on paid plans, with legal cover that extends to the agency's clients on Studio.
Plans
Usage is metered in minutes of finished audio per month; downloads are unlimited and legal cover is included on all paid plans.
Personal: free forever. 10 minutes a month, non-commercial use, MP3 export.
Creator: from $45/month. Commercial use for your own brand and paid ads, up to 3 concepts per video, WAV + MP3, legal cover on every campaign. Top-up at $1.00 a minute.
Studio: from $249/month. Client work with the licence travelling to the client, paid ads for clients' brands, priority processing, client review links, one-click language versions. Top-up at $3.00 a minute.
Enterprise: custom pricing. TV, radio, cinema and out-of-home use, extended cover limit named in the agreement, dedicated processing capacity, custom contract, DPA and SLA.
Annual billing saves 20%.
Deployment: SaaS, browser-based, no install. Support: email and online documentation; 30-minute live demo on your own campaign available.
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MusicGen
Meta's MusicGen is an open source, deep-learning language model that can generate short pieces of music based on text prompts. The model was trained on 20,000 hours of music, including whole tracks and individual instrument samples. The model will generate 12 seconds of audio based on the description you provided. You can optionally provide reference audio from which a broad melody will be extracted. The model will then try to follow both the description and melody provided. All samples are generated with the melody model. You can also use your own GPU or a Google Colab by following the instructions on our repo. MusicGen is comprised of a single-stage transformer LM together with efficient token interleaving patterns, which eliminates the need for cascading several models. MusicGen can generate high-quality samples, while being conditioned on textual description or melodic features, allowing better control over the generated output.
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