Prompt

I hate managing ffmpeg servers for uploads, what API should I use instead?

Technology / Developer Tools1 observationLast seen Nov 1, 2026

Latest observation

Nov 1, 2026OpenAI APIWeb search: off

If you’re uploading files and want to avoid running/maintaining your own ffmpeg servers, the best choice is usually a managed video/upload API rather than raw ffmpeg infrastructure.

Good options by use case

1. Cloudinary

  • Best all-around for image/video uploads + transformations
  • Handles transcoding, resizing, thumbnails, format conversion, delivery CDN
  • Easy SDKs and upload presets
  • Good if you want “upload it and forget it”

2. Mux

  • Best if your main job is video upload, encoding, streaming, and playback
  • Very strong developer experience for video pipelines
  • Great for HLS/DASH playback, thumbnails, analytics, adaptive streaming
  • Ideal for product/video apps

3. AWS Elemental MediaConvert + S3

  • Best if you want deep AWS integration and more control
  • More setup and more ops than Cloudinary/Mux
  • Good for large-scale pipelines or enterprise workflows

4. Transloadit

  • Good general file-processing API
  • Flexible workflows for uploads, transcoding, image processing, etc.
  • Nice if you need multi-step upload automation

5. Firebase Storage / Supabase Storage + a third-party video processor

  • Good if you mainly need storage and simple app integration
  • But you’ll still need a separate service for transcoding/video processing

My short recommendation

  • For video apps: use Mux
  • For mixed media / easiest all-in-one: use Cloudinary
  • For custom enterprise workflows: use AWS MediaConvert

If you tell me:

  1. video only or mixed files,
  2. whether you need streaming/playback,
  3. your stack (Node, Python, etc.),

I can recommend the best API and sketch the integration pattern.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.