Deployments
Change where it runs, not what it returns
The same pipeline runs on a laptop, on a container in your network, on managed infrastructure, or inside an air-gapped data centre. What differs is operations — not the parser and not the output.
Local library
One pip install, no account, no upload.
Evaluation, development, custom pipelines, and any workload that fits on the machine running it.
What it adds
- Full document model and every export format
- Complete offline operation once models are cached
- Direct access to pipeline internals
What it costs you
- Throughput is bounded by the local machine
- No built-in queueing, retries or metrics
- Model downloads need network access on first run
Docling Serve
The same pipeline behind an HTTP endpoint you operate.
Internal services, team workflows, and applications that should not embed the converter directly.
What it adds
- HTTP API and container images
- Shared capacity across a team
- Deployment inside your own network boundary
What it costs you
- You own scaling, monitoring and upgrades
- Capacity planning is your responsibility
Managed SaaS
Elastic capacity and managed operations, same document model.
Production applications that need throughput and reliability without running the infrastructure.
What it adds
- Elastic throughput with queueing and retries
- Usage controls, quotas and observability
- Managed runtime updates and regional processing
- Enterprise identity, support and service commitments
What it costs you
- Documents are processed by the provider, not on your hardware
- Request size, rate and concurrency limits apply
- Retention and processing boundaries are set by the provider's terms
Private / on-prem
Your infrastructure, your models, your update windows.
Regulated environments, data-residency requirements and air-gapped networks.
What it adds
- Private cloud, data centre or air-gapped deployment
- Control over models, versions and update windows
- Logging, secrets and identity integrated with your stack
- Capacity planning and accelerator guidance
What it costs you
- Requires infrastructure and operational ownership
- Accelerator availability shapes achievable throughput