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Chapter 1
API Authentication & PDF Upload
Overview If your PDF font correction request is unauthenticated or missing document identifiers, the service cannot deterministically map glyphs to the target font pipeline. This section specifies how to authenticate requests, upload a source PDF, and provide the document metadata needed for font correction.
Quick Reference - Base URL: https://api.pdffontcorrection.example/v1 - Authentication: Authorization: Bearer - Upload endpoint: POST /documents:upload - Correct fonts endpoint (typically called after upload): POST /documents/{documentId}:correct - Upload content type: multipart/form-data - Idempotency: Idempotency-Key header (recommended)
| Step | Request | Key Headers / Fields | |---|---|---| | 1 | Upload PDF | Authorization, optional Idempotency-Key, file (PDF) | | 2 | Start correction | Authorization, documentId, targetFontProfile |
Parameters | Parameter | Type | Required | Description | |---|---:|:---:|---| | file | multipart file | Yes | Source PDF binary. Must be application/pdf. | | documentId | string | Yes | Server-issued identifier returned by upload. Used to reference the stored PDF. | | targetFontProfile | string | Yes | Font correction profile name (e.g., embed-substitute, match-metrics). Controls substitution and metric preservation. | | sourcePageRange | string | No | Pages to process, format: "1-3,5,8-10". Default: entire document. | | preserveLayout | boolean | No | When true, prioritizes glyph positioning stability. Default: true. | | outputFormat | string | No | Output MIME family: pdf (default). | | callbackUrl | string | No | HTTPS endpoint for async completion notifications. Must be reachable by the service. | | Idempotency-Key | string | No | Client-generated key to deduplicate retries for the same upload request. |
Code Example `bash
1) Upload the source PDF (multipart/form-data) curl -sS -X POST "https://api.pdffontcorrection.example/v1/documents:upload" \ -H "Authorization: Bearer $API_KEY" \ -H "Idempotency-Key: 9b7f1b2a-3a7c-4c4f-8a1c-2b6c0e0f6b11" \ -F "file=@/path/to/source.pdf;type=application/pdf" `
`bash
2) Correct fonts using the uploaded documentId curl -sS -X POST "https://api.pdffontcorrection.example/v1/documents/{documentId}:correct" \ -H "Authorization: Bearer $API_KEY" \ -H "Content-Type: application/json" \ -d '{ "targetFontProfile": "embed-substitute", "sourcePageRange": "1-5", "preserveLayout": true, "outputFormat": "pdf" }' `
json // Note: Replace {documentId} with the value returned from the upload response.
Response Format json { "upload": { "documentId": "doc_01J7K3Q2H9T4Z8WQK5M2P1A7B4", "status": "stored", "original": { "fileName": "source.pdf", "pageCount": 12, "contentType": "application/pdf", "sha256": "e3b0c44298fc1c149afbf4c8996fb924..." } }, "correction": { "jobId": "job_01J7K3Q2H9T4Z8WQK5M2P1A7B5", "status": "queued", "estimatedSeconds": 18, "download": { "statusUrl": "https://api.pdffontcorrection.example/v1/jobs/job_.../status" } } }
| Field | Description | |---|---| | documentId | Stable reference to the uploaded PDF stored by the service. | | sha256 | Content hash used for integrity checks and deduplication diagnostics. | | jobId | Asynchronous correction job identifier. | | statusUrl | Polling URL for job state and final artifact readiness. |
Notes & Best Practices - Rate limits: Enforce client-side throttling; burst uploads can return 429 Too Many Requests. Use backoff with jitter and reuse Idempotency-Key for retries. - Authentication: Requests must include Authorization: Bearer. Missing or malformed tokens result in 401 Unauthorized. - Upload validation: The service expects a real PDF stream (application/pdf). Non-PDF uploads typically fail with 400 InvalidFileFormat. - Deterministic targeting: Use a consistent targetFontProfile across retries so font substitution and metric handling remain stable, especially when only a sourcePageRange is specified.
This setup establishes the authenticated boundary and the document identifiers the correction pipeline relies on; the next chapter defines how to choose and standardize font profiles for consistent results across documents.
End of chapter one. 4 more chapters in the full book.
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What's inside: 5 chapters
- 1. API Authentication & PDF Upload
- 2. Create Font Correction Job Endpoint
- 3. Get Job Status & Retrieve Corrected PDF
- 4. Font Substitution Rules & Fallback Mapping
- 5. Error Codes, Troubleshooting, and Re-run Strategy
About this book
"PDF Font Correction" is a technical book by ANONYMOUS with 5 chapters and approximately 3,829 words. Methods to correct and standardize fonts in PDFs.
This book was created using Inkfluence AI, an AI-powered book generation platform that helps authors write, design, and publish complete books. It was made with the AI Documentation Generator.
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What is "PDF Font Correction" about?
Methods to correct and standardize fonts in PDFs
How many chapters are in "PDF Font Correction"?
The book contains 5 chapters and approximately 3,829 words. Topics covered include API Authentication & PDF Upload, Create Font Correction Job Endpoint, Get Job Status & Retrieve Corrected PDF, Font Substitution Rules & Fallback Mapping, and more.
Who wrote "PDF Font Correction"?
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