This page is designed to help you find out whether Xora.sh is good and if it is the right choice for you.
Xora is a cloud FFmpeg API for developers, automation workflows, and AI agents. Send familiar FFmpeg arguments or a ready-made recipe to one REST endpoint, track deterministic job states, and collect the finished media from a signed URL or your own storage bucket.
Raw FFmpeg commands: Run ordinary FFmpeg arguments through a JSON API without maintaining binaries, containers, queues, or transcoding servers.
Recipes and presets: Use ready-made workflows for compression, thumbnails, trimming, concatenation, audio extraction, and web-ready video, or save reusable configurations.
Agent-ready interfaces: Use REST, OpenAPI, llms.txt, or a remote MCP server with structured inputs, outputs, errors, and job states.
Reliable asynchronous jobs: Poll progress or receive webhooks across queued, transcoding, completed, failed, rejected, and cancelled states. Idempotency keys make retries safe.
Flexible storage: Read inputs from HTTPS URLs and deliver outputs as signed downloads or directly to a Cloudflare R2 bucket.
Scalable processing: Run long or high-volume media jobs in isolated workers with parallel processing and no serverless timeout management.
Ship faster: Add production media processing without building and operating a dedicated FFmpeg infrastructure stack.
Keep full FFmpeg control: Use the flags, codecs, filter graphs, and multi-input commands your application already needs without an abstraction ceiling.
Make automation dependable: Structured JSON states, parseable errors, webhooks, and idempotent retries let software and agents respond predictably.
Avoid infrastructure surprises: Xora handles compute, workers, disk, concurrency, and scaling while plans use simple credit limits and hard spending caps.
Start without commitment: The free plan includes 25 monthly credits and needs no credit card.
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Raw FFmpeg commands
Run ordinary FFmpeg arguments through a JSON API without maintaining binaries, containers, queues, or transcoding servers.
Recipes and presets
Use ready-made workflows for compression, thumbnails, trimming, concatenation, audio extraction, and web-ready video, or save reusable configurations.
Agent-ready interfaces
Use REST, OpenAPI, llms.txt, or a remote MCP server with structured inputs, outputs, errors, and job states.
Reliable asynchronous jobs
Poll progress or receive webhooks across queued, transcoding, completed, failed, rejected, and cancelled states. Idempotency keys make retries safe.
Flexible Storage
Read inputs from HTTPS URLs and deliver outputs as signed downloads or directly to a Cloudflare R2 bucket.
Scalable processing
Run long or high-volume media jobs in isolated workers with parallel processing and no serverless timeout management.
Hono, Cloudflare Workers, Cloudflare D1, Clerk, FFmpeg, Tailwind CSS, PostHog, Paddle
Software developers, SaaS teams, video and audio platforms, automation engineers, AI-agent builders, content platforms, course platforms, and teams that need programmable media processing.
I am the founder of Xora, focused on making FFmpeg easier to use for developers, automation workflows, and AI agents. The goal is to simplify media processing by handling the infrastructure and operational complexity while giving developers full control over their media workflows.
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