DECIMER (v2) chemical structure image to SMILES conversion via FastAPI or Python client.
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DECIMER chemical structure image-to-SMILES service via FastAPI (including reaction-based images).
Docs and source: https://github.com/DocMinus/DecimerServerAPI
What’s new in V1.2.1: Hardened, MCP-compatible endpoints. Fully back compatible to V0.2.1
What's new in V1.4.0: New /system/status endpoint reporting CPU/GPU accelerator type and TensorFlow version. (GPU Docker build available when building from source)
Use docker compose up -d / docker compose down with:
services:
decimer_api:
platform: linux/amd64
image: docker.io/docminus/decimer_api:latest
container_name: decimerapi
ports:
- "8099:8099"
volumes:
- model_files:/home/appuser/.data/DECIMER-V2
restart: always
volumes:
model_files:
latest = newest release1.2.1, 0.2.1, etc. = fixed release tagsFor reproducible deployments, pin a version tag (for example :1.2.0) instead of :latest.
POST /image2smiles/call_image2smiles(...) -> returns SMILES string (backward compatible)call_image2smiles_with_meta(...) -> returns full metadata payloadlinux/amd64 image (compatible with Windows/Linux/macOS, including Apple Silicon).
If you want architecture-native or custom builds, build from source using the GitHub repo above.
Content type
Image
Digest
sha256:91770b7d8…
Size
925.5 MB
Last updated
5 months ago
docker pull docminus/decimer_api