After enabling the vector-grid detectors on the extract path (#85) and broadening detection to full-page grids (#83), long-cell tables (#84), and segment-only layouts (#86), one residual failure shape remained: detectors finding a valid grid but only capturing a small fraction of the region's actual text. Two recurring sub-shapes: - "header-only": detector captured the column-header band (often a multi-line year/units block) but missed every data row below. Common in financial statements, securities tables, budget appendices. - "sparse": detector returned a handful of fragmentary cells from a content-rich region, missing the bulk of the page. Both pass the existing needs_ocr quality gates — the captured cells are well-formed markdown — but the customer would receive a 5-row fragment of a 50-row table. Today these regions fell back to GLM-OCR by default; flipping `__nativeTableExtraction=true` would start serving the partials. Add `captured_only_a_fragment(md, region_text_chars)`: rejects when the captured non-delimiter character count is less than 25% of the text the page extractor saw inside the region. The 200-char region floor keeps short legitimate tables (units, axis labels) from being mis-flagged. Wired into the existing `evaluate` quality gate alongside is_garbage_text / is_cid_garbage / detect_encoding_issues / looks_like_partial_table_ex. Verified against three representative residual cases from shadow logs (financial-statement header band, securities-table fragment, ESIA sparse region): all flip from `needs_ocr=false` with partial output to `needs_ocr=true` so GLM takes over. Existing full-table fixtures (governmental ledger, PPRA-style key/value, archival catalog) still pass through unchanged. Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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.
Install
npm install @firecrawl/pdf-inspector
# or
bun add @firecrawl/pdf-inspector
Prebuilt binaries included for linux-x64 and macOS ARM64. No Rust toolchain needed.
API
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).
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
}
}
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
}
Platforms
| Platform | Architecture | Supported |
|---|---|---|
| Linux | x64 | Yes |
| macOS | ARM64 | Yes |
License
MIT