Practical guide
An API should make conversion repeatable, not invisible
Automated PDF conversion is a job workflow rather than a single magical request. A production integration needs authentication, upload validation, idempotency or duplicate controls, asynchronous status, retry policy, output download, retention, and observability. DocKernel's account area can create API keys, while the documented flow posts a file and options, receives a job identifier, polls status or handles a webhook, and downloads the completed Markdown from an authorized endpoint.
Before sending a full archive, convert representative files through the browser and account-backed paths. Record which options are required, what counts as an acceptable output, and which failures should retry. Network failures and temporary processor errors may be retryable; invalid PDFs, unsupported encryption, or files beyond limits usually require user action. Keep API keys on the server, verify webhook authenticity when enabled, and never expose a long-lived secret in browser JavaScript.
When a PDF to Markdown API is justified
- An application receives PDFs continuously and manual upload creates a bottleneck.
- A repository, CMS, or knowledge base needs repeatable Markdown exports.
- You need job history, auditable status, signed downloads, or asset retrieval.
- A queue must isolate slow OCR and complex conversion from user-facing request latency.
Workflow
Build the integration in four production-minded steps
- 01
Validate locally
Check MIME type, file size, encryption, ownership, and whether OCR is required before upload.
- 02
Create an authenticated job
Send the PDF and explicit conversion options from a trusted server using an account API key.
- 03
Track completion
Persist the job ID, poll with backoff or verify webhook events, and separate retryable failures from permanent validation errors.
- 04
Collect and verify output
Download Markdown and assets through authorized endpoints, run quality checks, then store or index the accepted result according to retention policy.
Conversion example
Example: create and monitor a conversion job
The exact production contract should follow the live developer documentation. This representative flow shows the important boundary: the upload returns a job, and the client waits for an authorized completed result instead of holding one long request open.
Source PDF content
POST /api/conversions
Authorization: Bearer dk_live_…
Content-Type: multipart/form-data
file=@manual.pdf
mode=standard
pageMarkers=true
preserveBreaks=trueMarkdown output
202 Accepted
job.id: job_123
job.status: queued
GET /api/conversions/job_123
job.status: completed
result: authorized Markdown downloadQuality benchmark
API production-readiness benchmark
A reliable integration is measured by controlled behavior across success and failure, not only by a successful demo request.
| Document profile | Recommended route | Pass criteria |
|---|---|---|
| Valid text PDF | Standard asynchronous job | One accepted job, terminal status, downloadable Markdown, and recorded source metadata. |
| Temporary processor or network failure | Backoff and bounded retry | No duplicate billing or infinite retry loop; final status remains observable. |
| Invalid, encrypted, or oversized input | Reject before or during validation | Actionable permanent error; file is not repeatedly queued and the user knows how to recover. |
This benchmark is an acceptance matrix, not a claim that every PDF reaches the same accuracy. Test representative files from your own collection before automating a large queue.
API integration boundaries
Plan against the live account, entitlement, and backend configuration rather than assuming that every documented capability is enabled for every environment.
- API keys must remain in a server-side secret store and should be rotated after suspected exposure.
- File, page, batch, credit, retention, and rate limits can vary by plan and deployment configuration.
- Webhooks require signature verification, replay protection, idempotent handlers, and a polling fallback.
- Completed Markdown still needs document-specific quality checks before publication or automated decision-making.
Frequently asked questions
PDF to Markdown API questions
1Is the PDF to Markdown API synchronous?
The intended production flow is asynchronous: create a job, receive an identifier, track status, then download the authorized result. This avoids holding a request open during OCR or complex processing.
2Where should I store the API key?
Store it in a server-side secret manager or deployment secret. Do not put a live key in frontend code, public repositories, analytics events, screenshots, or client-visible error messages.
3Should my integration poll or use webhooks?
Webhooks reduce unnecessary polling, but they need signature verification and idempotent handling. A bounded polling fallback is useful when delivery is delayed or an event endpoint is unavailable.
4How should failed conversions be retried?
Retry only failures classified as temporary, use exponential backoff and a maximum attempt count, and preserve the original job context. Invalid inputs and unsupported files should return to a user or operator instead.