The Complete Guide to File Compression
How file compression works, which methods to use, and how to pick the right tool.
The distributed compression platform for teams. Microservice architecture, every major file format, cloud-native deployment, full data sovereignty.
A multi-user compression platform built for enterprises and public sector teams
SmartSlim Enterprise is a distributed compression platform for organizations that move documents at scale. Its microservice architecture drives our proprietary Rust compression engine and handles 80 file formats across 11 categories. Out of the box, you get user management, usage-based metering, real-time progress updates, and monitoring with alerting. Deploy with Docker Compose or Kubernetes, on mainstream Linux distributions (Debian, Ubuntu) or in a fully sovereign, on-premises environment.
cleanly separated, each layer doing one job well
Nginx serves the user portal (/user) and admin console (/admin), giving your team a web interface and a full task management dashboard.
An async FastAPI service that handles authentication (JWT), rate limiting, input validation, and request routing in one place.
Async task queues, user management, usage metering and billing, plus WebSocket services that push progress to every connected client.
Our proprietary Rust engine delivers high-performance compression for 80 formats across 11 categories.
MySQL (application data) · Redis (caching and message broker) · MinIO (S3-compatible object storage for uploads and compressed output).
Everything an enterprise compression platform needs, built in
WebSocket connections stream compression progress straight from Redis Pub/Sub to the browser. No polling, no refresh — users see status the moment it changes.
Industry-standard JWT tokens secure every request, while passwords are stored using hardened hashing algorithms. Strong security without the performance tax.
Request counts, latency, and job volumes are collected out of the box and visualized in Grafana, so you always know how the platform is performing.
Time-windowed rate limits per IP or per user protect the platform from abuse and keep noisy clients from degrading service for everyone else.
80 formats across 11 categories: images, PDF, video, audio, Word, Excel, PowerPoint, OFD/XPS, 26 text types, EPUB/EML, and industry & scientific data such as DICOM.
A built-in metering service tracks daily traffic and compression jobs per user, and pairs with subscription plans for easy chargeback.
From a single-server compose file to a cloud-native cluster
Runs on mainstream Linux — or fully air-gapped in your own data center
| Category | Supported Options |
|---|---|
| Databases | PostgreSQL, MySQL 8.0 |
| Message Brokers | RabbitMQ, Redis Pub/Sub |
| Operating Systems | Mainstream Linux distributions (Debian, Ubuntu) |
| CPU Architectures | x86_64 (Intel/AMD), ARM64 (aarch64) |
Multi-tenant by design, ready to feed your AI platform with clean, compressed data
Tell us about your environment and we'll design a Docker or Kubernetes rollout — on your cloud or fully on-premises.
How file compression works, which methods to use, and how to pick the right tool.
How we took an 80 MB scanned contract down to 8 MB — step by step.
The essential difference, explained with one diagram and a few lines of code.