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PDF Font Correction
Technical

PDF Font Correction

by ANONYMOUS · Published 2026-04-22

Created with Inkfluence AI

5 chapters 3,829 words ~15 min read English

Methods to correct and standardize fonts in PDFs

Table of Contents

  1. 1. API Authentication & PDF Upload
  2. 2. Create Font Correction Job Endpoint
  3. 3. Get Job Status & Retrieve Corrected PDF
  4. 4. Font Substitution Rules & Fallback Mapping
  5. 5. Error Codes, Troubleshooting, and Re-run Strategy

First chapter preview

A short excerpt from chapter 1. The full book contains 5 chapters and 3,829 words.

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)

StepRequestKey Headers / Fields
1Upload PDF`Authorization`, optional `Idempotency-Key`, `file` (PDF)
2Start correction`Authorization`, `documentId`, `targetFontProfile`

Parameters

ParameterTypeRequiredDescription
`file``multipart file`YesSource PDF binary. Must be `application/pdf`.
`documentId``string`YesServer-issued identifier returned by upload. Used to reference the stored PDF.
`targetFontProfile``string`YesFont correction profile name (e.g., `embed-substitute`, `match-metrics`). Controls substitution and metric preservation.
`sourcePageRange``string`NoPages to process, format: `"1-3,5,8-10"`. Default: entire document.
`preserveLayout``boolean`NoWhen `true`, prioritizes glyph positioning stability. Default: `true`.
`outputFormat``string`NoOutput MIME family: `pdf` (default).
`callbackUrl``string`NoHTTPS endpoint for async completion notifications. Must be reachable by the service.
`Idempotency-Key``string`NoClient-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"
    }
  }
}

FieldDescription
`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.

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.

Frequently Asked Questions

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"?

This book was written by ANONYMOUS and created using Inkfluence AI, an AI book generation platform that helps authors write, design, and publish books.

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