Users import or record video, choose a manual or AI-assisted editing workflow, and select features such as captions, translation, dubbing, AI editing, generated media, or an AI actor. Captions processes the project and lets the user review, adjust, and export the finished video or submit generation and translation jobs through the API.
What is Captions?
Captions is an AI video editing and creation platform from Mirage. Its main purpose is to help creators, marketers, businesses, and teams produce short-form video without handling every edit manually. A project can begin with imported footage, a script, or an AI-generated concept, and can then be shaped with captions, cuts, graphics, music, voice, translation, and other automated edits.
The product sits between a mobile-first social video editor and a generative video studio. Unlike a general-purpose chatbot, its AI features operate inside a video workflow: they can transcribe speech, apply edits, generate visual or audio assets, create talking-head content, or translate and dub an existing video.
How the video workflow works
Users can record or import video and choose between manual editing and AI-assisted workflows. Captions can automatically transcribe speech and apply animated caption styles, while AI editing can suggest or perform cuts, transitions, music, sound effects, images, B-roll, and motion graphics. Text-directed editing lets a user describe changes in natural language, such as altering a caption style, adding a zoom, or applying a particular editing aesthetic.
This makes Captions particularly relevant to people producing frequent talking-head videos, social posts, promotional clips, and short advertisements. It is less clearly suited to complex long-form editing where detailed timeline control, extensive media management, and traditional professional post-production tools are the priority. Users comparing it with a more conventional AI video editor may also want to consider CapCut or Descript, depending on whether they prioritize social editing or text-based editing of recorded media.
AI generation, avatars, and dubbing
Captions can generate videos without camera footage, including talking-head and UGC-style material. Its AI actor and AI Twin features are designed for creating presenter-style videos and digital-twin content. These workflows can be used for marketing messages, product explanations, localized campaigns, and other formats where a presenter is useful but recording a new video for every variation is impractical.
The platform also supports video translation and dubbing, with optional lip synchronization for some workflows. It can generate voiceovers, clone voices, reduce noise, correct eye contact, and create supporting images, video clips, music, and sound effects. Language availability differs by feature and device: caption generation covers a broad range of languages, while translation and dubbing support a narrower documented selection.
For voice-focused production, Captions overlaps with dedicated services such as ElevenLabs, but its main distinction is that voice and dubbing tools are integrated into a wider video creation workflow. For localization, it is more than a subtitle generator because it can combine translated speech, captions, and synchronized presentation, although exact results and availability depend on the selected feature.
Who is Captions for?
- Short-form creators: Adding captions, cleaning up recordings, and producing social videos with less manual editing.
- Marketing teams and agencies: Creating variations of advertisements, presenter videos, voiceovers, and localized campaigns.
- Small businesses and educators: Turning scripts or recorded explanations into captioned and translated videos.
- Enterprise teams and developers: Using administrative features or the API for AI creator, translation, advertising, and AI Twin workflows.
Captions is a stronger fit when speed, accessibility, localization, and repeatable short-form production matter more than complete manual control. It is not an obvious replacement for a dedicated professional editing system for long-form or highly intricate projects.
Platforms and API workflows
Captions is available through web, iOS, Android, and desktop applications for Mac and Windows. The exact feature set is not identical across platforms. In particular, desktop projects are stored locally and are not automatically synchronized between devices according to the product documentation, so users should choose their primary working device carefully.
The public Captions API supports workflows including AI Creator, AI Translate, AI Ads, and AI Twin. This is relevant for teams that need to submit generation or translation jobs from another application rather than manually create every video. The documentation also lists an integration with Clay for generating personalized AI avatar and talking-head videos from Clay tables. API and integration usage can have different limits from the consumer editor.
Pricing and usage limits
A continuing free version is available, with limited editing, caption, trimming, transition, and media features. Paid subscriptions add more advanced AI functionality and usage credits. Current advertised iOS pricing lists the Max plan at $24.99 per month, with Scale tiers at $69.99, $139.99, and $279.99 per month. Enterprise pricing is custom.
These prices should not be treated as universal: availability, billing options, currencies, and features can vary by region and device. Paid plans use monthly AI credits; the current pricing information lists 500 credits for Max, 1,400 for Scale 2x, 2,800 for Scale 4x, and 5,600 for Scale 8x. Unused credits may roll over for up to two additional months, subject to the stated limits. Video duration, resolution, plan, device, API endpoint, and translation mode can impose additional restrictions.
Important limitations and privacy considerations
Captions offers a broad collection of AI functions, but that breadth makes the product comparatively dependent on plan, device, and credit availability. Generative video, avatars, dubbing, and other advanced operations may consume credits, and feature access can differ between mobile, desktop, and web. Output quality can also vary across generated media, voices, languages, and presentation formats.
The platform is not a fully synchronized multi-device editing environment: desktop projects are locally stored according to its help documentation. It also provides fewer of the detailed manual controls expected from a traditional professional non-linear editor. Users planning documentary, broadcast, or complex long-form work should evaluate the timeline and media-management workflow before adopting it as their primary editor.
Privacy is another consideration for users uploading sensitive footage or voice data. The service may process account, device, usage, audio, video, text, transcription, caption, and generated-content information, depending on the features used. Its consumer privacy policy states that information may be used to operate, improve, and train AI or machine-learning models. Enterprise materials state that enterprise data is excluded from training, so the applicable plan and product context matter. Users should review the current privacy and enterprise terms before uploading confidential recordings, biometric-related data, or proprietary media.
Is Captions a good fit?
Captions is a practical choice for creators and marketing teams that need to turn recordings, scripts, or ideas into captioned and localized short-form video quickly. Its strongest combination is automatic captioning, text-directed editing, AI presenters, dubbing, voice tools, and conventional editing in one product. It is also worth considering when a team needs API access for repeatable video-generation or translation workflows.
It is a weaker fit for users seeking unlimited generative video, a low-cost editor without credit-based restrictions, automatic synchronization of desktop projects across devices, or the deep manual timeline control of professional editing software. The best evaluation should use the intended device and a representative project, because pricing, credits, and feature availability can materially change the workflow.
