Docker Run to Compose Converter
Convert docker run CLI commands into clean docker-compose.yml files and decompose Compose YAML back into docker run one-liners. 100% in-browser, bidirectional, and private.
Convert docker run CLI commands into clean docker-compose.yml files and decompose Compose YAML back into docker run commands. Bidirectional, private, and instant.
Docker CLI to Compose YAML Reference Cheat Sheet
| Docker CLI Flag | Docker Compose Key | Example Translation | Behavior / Notes |
|---|---|---|---|
| -p, --publish | ports: | - "8080:80" | Host to container port binding |
| -v, --volume | volumes: | - "/host:/container:ro" | Named volumes and host bind mounts |
| -e, --env | environment: | - KEY=value | Environment variables list or mapping |
| --name | container_name: | container_name: my-app | Explicit container instance name |
| --restart | restart: | restart: unless-stopped | Restart policy (always, on-failure) |
| --network | networks: | networks: [custom-net] | Container network attachment |
| -d, --detach | (CLI runtime) | docker compose up -d | Runtime daemon flag (omitted from YAML) |
About Docker Run to Compose Converter
Docker containers are the foundation of modern cloud-native software engineering. Developers frequently find container startup recipes shared online as single command-line invocations starting with docker run. While a CLI command is convenient for running a quick container, managing multi-container microservices or reproducing server environments requires declarative configuration with Docker Compose.
Translating complex command-line arguments into structured YAML can be tedious and prone to syntax errors. A single misplaced colon in volume mappings or wrong indentation in port bindings will cause container startup failures. The Docker Run to Compose Converter automates this conversion process by parsing CLI parameters into clean, structured docker-compose.yml files in milliseconds.
The tool also functions as a bidirectional parser with a built-in decomposer mode that converts Compose service definitions back into docker run commands for rapid local debugging. To inspect API payloads or validate container configuration objects, use the json formatter and configure security headers with the csp header generator.
Step-by-step practical guide
- Select your conversion mode: use Docker Run to Compose to convert CLI commands to YAML, or switch to Decompose mode to turn a Compose service into a docker run command.
- Paste your docker run command into the editor, or click one of the server presets (Nginx, Redis, PostgreSQL) to load an example.
- Review the generated YAML configuration. Notice how flags like -p map to ports, -v maps to volumes, and -e maps to environment variables.
- Toggle the Version Header option if your workflow requires legacy Compose version 3.8 syntax, or leave it off for modern Compose Specification standards.
- Click Copy to Clipboard to paste directly into your terminal or click Download docker-compose.yml to save the configuration file.
Engineering specifications and execution details
Command-line tokenizer: POSIX-compliant shell argument tokenizer that handles escaped quotes, single quotes, double quotes, and multi-line backslash continuations.
Bidirectional mapping engine: Dual parser that translates CLI flags to YAML keys and parses YAML service definitions back to CLI arguments.
Port binding translation: Parses standard host:container bindings, UDP/TCP protocol designations, and IP-specific bindings (e.g. 127.0.0.1:8080:80/tcp).
Volume normalization: Handles named volumes, bind mounts with relative and absolute host paths, and read-only flags (:ro).
Compose Specification v2 alignment: Adheres to modern Docker Compose specifications that omit deprecated top-level version directives.
Zero network latency: 100% in-browser JavaScript parsing engine with zero server telemetry or network calls.
Data privacy and memory isolation
All command parsing and YAML generation execute strictly within local browser memory.
Zero environment variables, container passwords, secret tokens, or server volume paths are ever transmitted over the network.
Common production use cases
- DevOps engineers converting legacy shell deployment scripts into maintainable Docker Compose configurations for staging and production.
- Full-stack developers taking README installation commands from open-source GitHub repositories and turning them into clean multi-container compose files.
- System administrators translating Compose service definitions back into quick docker run one-liners to test individual container startup behavior.
Edge cases and operational boundaries
- Detached (-d) and remove (--rm) flags: These are runtime instructions rather than service state attributes; the parser automatically alerts the user that these are handled via the docker compose up -d command.
- Multi-container scripts: Pasting multiple docker run lines separated by newlines automatically merges them into a cohesive services dictionary with shared network definitions.
Frequently Asked Questions
What is the Docker Run to Compose Converter?
It is a developer utility that parses docker run CLI commands, extracts all configuration flags (ports, environment variables, volumes, networks, restart policies), and outputs an equivalent docker-compose.yml file.
Why does the tool omit the version line by default?
The official Docker Compose Specification has deprecated the top-level version attribute in modern Docker versions (Compose v2.x). If your deployment pipeline uses legacy Compose v1, you can toggle the version line back on with a single click.
Can I convert multiple docker run commands at once?
Yes. You can paste multiple docker run commands separated by newlines. The converter parses each command into a separate service entry under the primary services key in the resulting YAML file.
Are my database passwords and API keys secure when using this tool?
Yes. All parsing logic executes entirely inside your client browser with zero network requests. Your sensitive credentials and server paths are never sent to external servers or logged in databases.