Bsub.io – zero-setup batch execution for command-line tools
I built bsub because I was tired of wiring up Docker images, Python environments, GPUs, sandboxing, and resource limits every time I needed to run heavy command-line tools from web apps. I wanted: send files -> run job in the cloud -> get output -> done. https://www.bsub.io bsub lets you execute tools like Whisper, Typst, Pandoc, Docling, and FFmpeg as remote batch jobs with no environment setup. You can try them locally via the CLI or integrate via a simple REST API. Example (PDF extraction): bsubio submit -w pdf/extract *.pdf Works like running the tool locally, but the…
In plain words
Bsub.io is a cloud execution platform that runs command-line tools like Whisper, FFmpeg, and Pandoc as remote batch jobs without requiring Docker or environment setup. Users submit files via CLI or REST API, and the tool handles containerization, resource allocation, and sandboxing in the cloud before returning results. It's designed for developers who need to execute heavy processing tasks from web applications without managing infrastructure.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I built bsub because I was tired of wiring up Docker images, Python environments, GPUs, sandboxing, and resource limits every time I needed to run heavy command-line tools from web apps. I wanted: send files -> run job in the cloud -> get output -> done. https://www.bsub.io bsub lets you execute tools like Whisper, Typst, Pandoc, Docling, and FFmpeg as remote batch jobs with no environment setup. You can try them locally via the CLI or integrate via a simple REST API. Example (PDF extraction): bsubio submit -w pdf/extract *.pdf Works like running the tool locally, but the compute and isolation happen in the cloud. Technical details: - Each job runs in an isolated container with defined CPU/GPU/RAM limits. - Files are stored ephemerally for the duration of the job and deleted after completion. - REST API returns job status, logs, and results. - Cold start for light processors (Typst, Pandoc) is low; Whisper/FFmpeg take longer due to model load/encoding time. - Backend scales horizontally; more workers can be added during load spikes. Current processors: SST/Whisper -- speech-to-text Typography -- Typst, Pandoc PDF extraction -- Docling Video transcoding -- FFmpeg More coming; suggestions welcome for tools that are painful to set up locally. Looking for testers! CLI is open source: https://github.com/bsubio/cli. Installers available for Linux/macOS; Windows testing is in progress. Free during early testing; pricing TBD. If you’re on Windows, feedback is especially helpful: [email protected] If you try it, I’d appreciate feedback on API design, latency, missing processors, or anything rough around the edges.
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