Hosted Docling API
Docling is great until you try to deploy it to Vercel, Lambda, or any serverless platform. ParseBridge runs Docling as a service so you can ship production workloads without managing GPU infrastructure.
Powered by the open-source Docling engine
50 free pages, no credit card required
Honest take: if you're running Docling locally, you probably don't need us
Docling is excellent open-source software. If you're parsing a handful of PDFs on your laptop, running a script on your own machine, or experimenting with RAG pipelines in a notebook, just use Docling directly. It's free, it's great, and there's no reason to pay for a hosted version.
Where things get painful is production.
The moment you try to deploy Docling to the platforms most developers actually ship on (Vercel, AWS Lambda, Cloud Run, Netlify) you hit a wall. These serverless platforms don't support the GPU requirements, the package size, or the model downloads Docling needs. You can force it to work on Docker or a dedicated VPS, but you'll spend hours on setup, pay for GPU instances 24/7, and inevitably run into scaling issues as traffic grows.
That's the gap ParseBridge fills. Docling for people who need it in production.
What production deployment actually looks like
Docling works beautifully on your laptop. Here's what happens when you try to ship it.
Vercel, Lambda, and Cloud Run can't run Docling at all
The platforms most teams deploy to don't support GPU workloads, and Docling's models are too heavy to load within serverless cold-start windows. If your stack lives on Vercel or Lambda, self-hosting Docling isn't a slower path. It's a dead end.
ParseBridge gives you a simple REST API. Call it from any platform, any language, any runtime.
Docker and VPS hosting works, but the overhead is real
You can get Docling running on a dedicated Docker host or a VPS, but you're now paying for a GPU instance 24/7, downloading 500MB+ of models on every cold start unless you build caching, and managing a service you didn't set out to build.
No Docker, no GPU provisioning, no model downloads. One HTTP request, structured Markdown back.
Python dependency hell
PyTorch, transformers, specific CUDA versions, model downloads. Getting Docling working in a container is a half-day of yak shaving before you even parse a single page.
One HTTP request. No Python, no Docker, no CUDA.
Model storage and updates
The models are hundreds of MB, downloaded on first run. Every deploy or cold start re-downloads them unless you build caching.
Models are pre-loaded and kept up to date. We track Docling releases so you don't have to.
Scaling is your problem
If you do get Docling running in Docker, concurrent requests need a queue, retries, and timeouts. You end up building infrastructure instead of shipping product.
# What scaling Docling yourself looks like
services:
docling:
image: your-docling-image
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]
redis:
image: redis:7
worker:
build: ./worker
depends_on: [redis, docling]
environment:
- CELERY_BROKER=redis://redis:6379
- MAX_RETRIES=3
- TIMEOUT=300
nginx:
image: nginx
# ... load balancing config
# ... health checks
# ... auto-scaling rules
# ... monitoring
# You get the idea.ParseBridge handles concurrency, retries, and scaling automatically. Process one page or a hundred thousand.
See it on your own document
Paste a PDF URL or upload a PDF to get a live Markdown preview. No account needed.
Preview mode parses page 1 only.
We’ll fetch the PDF and return Markdown for the first page only.
Page 1 Markdown will appear here
No signup required · PDF only · Page 1 preview only
Self-hosted Docling vs. ParseBridge
Same Docling engine underneath. One version you manage, the other you call.
| Self-hosted Docling | ParseBridge | |
|---|---|---|
| Setup time | ❌ Hours to days | ✅ One API call |
| GPU required | ❌ Yes | ✅ No |
| Works on Vercel / Lambda | ❌ Not possible | ✅ Yes |
| Works on Docker / VPS | ⚠️ With significant setup | ✅ Yes |
| Scaling | ❌ You build it | ✅ Handled |
| OCR for scanned PDFs | ❌ Separate setup | ✅ Built in |
| Data privacy | ✅ Full control | ✅ Zero retention |
| Cost | ❌ GPU instance 24/7 | ✅ Pay per page |
| Maintenance | ❌ Your team | ✅ Ours |
Replace your Docling stack with one API call
No Python environment, no Docker, no model downloads. Send a URL, get Markdown back.
const res = await fetch("https://api.parsebridge.com/v1/parse/url", {
method: "POST",
headers: {
Authorization: "Bearer pb_your_api_key",
"Content-Type": "application/json",
},
body: JSON.stringify({
url: "https://example.com/annual-report.pdf",
}),
});
const { markdown } = await res.json();
console.log(markdown);# Annual Report 2024 ## Financial Overview The company reported strong growth across all segments. Revenue increased by 15% year-over-year. | Quarter | Revenue | Net Income | Growth | |---------|---------|------------|--------| | Q1 2024 | $2.4M | $340K | 15.3% | | Q2 2024 | $2.8M | $420K | 16.7% | ## Risk Factors Market volatility and regulatory changes present ongoing challenges to sustained growth...
Cheaper than a GPU instance
Self-host Docling on a GPU
$300+/mo
before you write a line of code
ParseBridge Basic plan
$17/mo
5,000 pages included
All plans include 50 free pages to start. See full plan details
Frequently asked questions
Should I just self-host Docling?
If you're running workloads locally or on a dedicated server you already manage, yes. Docling is excellent open-source software and you don't need us. ParseBridge is specifically built for teams deploying on Vercel, Lambda, Cloud Run, and other serverless platforms where Docling can't run natively, or teams who don't want to manage GPU infrastructure themselves.
Is ParseBridge the same as Docling?
ParseBridge runs Docling under the hood. You get the same parsing engine and the same output quality, without managing the infrastructure yourself. Think of it like Neon for Postgres or Vercel for Next.js.
What happens to my documents after parsing?
They're deleted immediately after processing. We do not store, log, or train on your data. Zero retention, no exceptions.
Which version of Docling do you run?
We track the latest stable Docling release and update regularly. You always get the newest models and parsing improvements without changing your integration.
Stop managing Docling infrastructure
Get the same Docling output with a single API call. No GPUs, no dependencies, no maintenance.
Start with 50 free pages, no credit card required
Questions? support@parsebridge.com