
Automate Video Creation, Dubbing & Publishing with API
RevidAPI is an AI-powered media automation API designed for developers to programmatically build and manage video, audio, and image processing workflows. It provides a set of RESTful endpoints that enable automated downloading, transcription, translation, AI dubbing, subtitle generation, editing, format conversion, and publishing of media assets. The platform serves developers building custom video automation tools, creators managing multi-platform content distribution, and AI video platforms requiring scalable, cloud-based media processing capabilities.
The API supports integration with automation platforms such as n8n and offers granular control over video operations—including captioning, trimming, merging, thumbnail extraction, logo insertion, and audio track mixing. All processing occurs in the cloud, eliminating the need for local infrastructure or client-side computation.
RevidAPI operates as a cloud-hosted REST API. Developers authenticate requests using an API key passed in the Authorization header. Input media can be specified either by URL (e.g., hosted video file) or uploaded directly. Each endpoint corresponds to a discrete media operation—for example, /v1/video/caption adds styled text overlays, while /v1/video/process handles multi-step editing tasks. Responses include job IDs for asynchronous operations and direct download URLs for completed assets.
Workflows are orchestrated externally—either via custom code or low-code automation tools like n8n. For instance, an n8n workflow might trigger on a new RSS feed item, download the referenced video via RevidAPI, transcribe its audio, translate captions into three languages, dub with AI voices, generate SRT files, and re-upload the final output to multiple social platforms. All processing is stateless and scalable, with typical response times ranging from 2–5 seconds for simple operations (e.g., download) to 15–30 seconds for complex video editing.
RevidAPI enables standardized, repeatable media processing across diverse use cases. Content teams use it to auto-generate multilingual subtitles and dubbed versions for global audiences. Marketing agencies automate repurposing of long-form videos into platform-optimized clips (e.g., vertical cuts for TikTok, square formats for Instagram). E-learning platforms convert lecture recordings into captioned, translated, and edited course modules. Developers embed RevidAPI into SaaS products to add video editing capabilities without maintaining media infrastructure. Batch processing supports large-scale archival digitization, social media monitoring dashboards, and AI training data preparation pipelines.