@firecrawl/pdf-inspector

PDF Inspector

Fast PDF classification and region-based text extraction for Node.js/Bun. Native Rust performance via napi-rs.

Built by Firecrawl for hybrid OCR pipelines — extract text from PDF structure where possible, fall back to OCR only when needed.

Features

• Smart classification — text-based / scanned / image-based / mixed in ~10–50ms, with a confidence score and per-page OCR routing.
• Region-based extraction — pull text from bounding boxes with per-region quality checks (needsOcr).
• Layout-aware — multi-column reading order, position and font info per text item, RTL support.
• Robust text decoding — CID/Type0 fonts via ToUnicode CMaps, plus automatic flagging of broken encodings so callers can fall back to OCR.
• Selective OCR — Auto routes only pages rejected by native extraction and returns source/model provenance plus hosted-fallback recommendations.
• External artifacts — the native package embeds no OCR models, PDFium, or ONNX Runtime; clean Auto requests never load or download them.

Benchmark

opendataloader-bench corpus (200 PDFs), local engines without model-based PDF parsing; OCR disabled. Scores 0–1, higher is better:

Engine	Overall	Reading order	Tables (TEDS)	Headings	Speed
pdf-inspector	0.875	0.915	0.814	0.788	0.470s
liteparse	0.873	0.913	0.693	0.811	0.750s
opendataloader	0.831	0.902	0.489	0.739	2.569s
pymupdf4llm	0.735	0.886	0.401	0.424	17.117s
markitdown	0.589	0.844	0.273	0.000	16.165s

Refreshed July 31, 2026, on Apple M4 Pro; speed is the median of five complete corpus runs after an excluded warm-up. Full methodology and versions are in the repo README, with raw timings and artifacts in the results branch.

Install

npm install @firecrawl/pdf-inspector
# or
bun add @firecrawl/pdf-inspector

Prebuilt binaries for Linux x64/ARM64 (glibc and musl/Alpine), macOS ARM64, and Windows x64 — npm installs only the one matching your platform. No Rust toolchain needed.

OCR calls that route work require compatible PDFium and ONNX Runtime shared libraries. Set PDFIUM_LIB_PATH and ORT_DYLIB_PATH when they are not on the platform library search path. The pinned OCR model set is downloaded and checksum-verified on the first routed page; use offline: true with a warm cache or modelDirectory to prohibit network access. See the OCR runtime setup guide for pinned downloads, supported platforms, and hosted-fallback behavior.

API

processPdfWithOcr(buffer: Buffer, options?: OcrOptions): Promise<OcrPdfResult>

Run native extraction first and OCR only the pages selected by its quality signals. The default mode is Auto; Off returns the same detailed result shape without external runtime work, and Force OCRs every selected page. The work runs on the libuv thread pool and never blocks Node's event loop.

import { OcrMode, processPdfWithOcr } from '@firecrawl/pdf-inspector'

const result = await processPdfWithOcr(pdf, {
  mode: OcrMode.Auto,
  pageNumbers: [1, 3], // 1-indexed
})

for (const page of result.pages) {
  console.log(page.pageNumber, page.provenance.source)
}
console.log(result.pagesRoutedToOcr)
console.log(result.pagesRecommendingHosted)

For offline deployments, pass modelDirectory and offline: true. Other controls include dpi, minimumConfidence, hostedRecommendationConfidence, and password.

classifyPdf(buffer: Buffer): PdfClassification

Classify a PDF as TextBased, Scanned, Mixed, or ImageBased (~10-50ms). Returns which pages need OCR.

import { classifyPdf } from '@firecrawl/pdf-inspector'
import { readFileSync } from 'fs'

const pdf = readFileSync('document.pdf')
const result = classifyPdf(pdf)

console.log(result.pdfType)        // "TextBased" | "Scanned" | "Mixed" | "ImageBased"
console.log(result.pageCount)      // 42
console.log(result.pagesNeedingOcr) // [5, 12, 15] (0-indexed)
console.log(result.confidence)     // 0.875

extractTextInRegions(buffer: Buffer, pageRegions: PageRegions[]): PageRegionTexts[]

Extract text within bounding-box regions from a PDF. Designed for hybrid OCR pipelines where a layout model detects regions in rendered page images, and this function extracts text from the PDF structure for text-based pages — skipping GPU OCR.

Each region result includes a needsOcr flag that signals unreliable extraction (empty text, GID-encoded fonts, garbage text, encoding issues). When the cause is a suspected garbled text layer, ocrReason is set to "suspected_garbled_text".

import { extractTextInRegions } from '@firecrawl/pdf-inspector'

const result = extractTextInRegions(pdf, [
  {
    page: 0, // 0-indexed
    regions: [
      [0, 0, 300, 400],    // [x1, y1, x2, y2] in PDF points, top-left origin
      [300, 0, 612, 400],
    ]
  }
])

for (const region of result[0].regions) {
  if (region.needsOcr) {
    // Unreliable text — send this region to OCR instead
  } else {
    console.log(region.text) // Extracted text in reading order
  }
}

Async variants

processPdf, classifyPdf, and extractPagesMarkdown are synchronous and parse on the calling thread — in Node, that's the event loop. For a one-off call in a script that's fine, but in a server a large document can hold the loop for tens to hundreds of milliseconds.

processPdfAsync, classifyPdfAsync, and extractPagesMarkdownAsync take the same arguments and produce the same results, but run the parse on the libuv thread pool and return a promise, keeping the event loop free. The input buffer is copied before the call returns, so it's safe to reuse or mutate immediately:

import { classifyPdfAsync, extractPagesMarkdownAsync } from '@firecrawl/pdf-inspector'

const classification = await classifyPdfAsync(pdf)
if (classification.pdfType === 'TextBased') {
  const { pages } = await extractPagesMarkdownAsync(pdf)
  // ...
}

Types

interface PdfClassification {
  pdfType: string          // "TextBased" | "Scanned" | "Mixed" | "ImageBased"
  pageCount: number
  pagesNeedingOcr: number[] // 0-indexed page numbers
  confidence: number        // 0.0 - 1.0
}

interface PageRegions {
  page: number              // 0-indexed
  regions: number[][]       // [[x1, y1, x2, y2], ...] in PDF points, top-left origin
}

interface PageRegionTexts {
  page: number
  regions: RegionText[]
}

interface RegionText {
  text: string
  needsOcr: boolean         // true when text is unreliable
  ocrReason?: string        // "suspected_garbled_text" when known
}

interface OcrPdfResult {
  markdown: string
  pages: OcrPageResult[]              // 1-indexed pages + provenance
  pageCount: number
  pagesRecommendedForOcr: number[]
  pagesRoutedToOcr: number[]
  pagesRecommendingHosted: number[]
  ocrReasonsByPage: PageOcrReasons[]
  pagesWithTables: number[]
  pagesWithColumns: number[]
  isComplex: boolean
  processingTimeMs: number
  renderTimeMs: number
  ocrTimeMs: number
}

Platforms

Prebuilt binaries ship as platform-specific packages installed automatically via optionalDependencies:

Platform	Architecture	Package
Linux	x64 (glibc)	@firecrawl/pdf-inspector-linux-x64-gnu
Linux	x64 (musl/Alpine)	@firecrawl/pdf-inspector-linux-x64-musl
Linux	ARM64 (glibc)	@firecrawl/pdf-inspector-linux-arm64-gnu
Linux	ARM64 (musl/Alpine)	@firecrawl/pdf-inspector-linux-arm64-musl
macOS	ARM64	@firecrawl/pdf-inspector-darwin-arm64
Windows	x64	@firecrawl/pdf-inspector-win32-x64-msvc

License

MIT