pdf-text-extractorExtract text from PDFs with OCR support. Perfect for digitizing documents, processing invoices, or analyzing content. Zero dependencies required.
Install via ClawdBot CLI:
clawdbot install Michael-laffin/pdf-text-extractorVernox Utility Skill - Perfect for document digitization.
PDF-Text-Extractor is a zero-dependency tool for extracting text content from PDF files. Supports both embedded text extraction (for text-based PDFs) and OCR (for scanned documents).
clawhub install pdf-text-extractorconst result = await extractText({
pdfPath: './document.pdf',
options: {
outputFormat: 'text',
ocr: true,
language: 'eng'
}
});
console.log(result.text);
console.log(`Pages: ${result.pages}`);
console.log(`Words: ${result.wordCount}`);const results = await extractBatch({
pdfFiles: [
'./document1.pdf',
'./document2.pdf',
'./document3.pdf'
],
options: {
outputFormat: 'json',
ocr: true
}
});
console.log(`Extracted ${results.length} PDFs`);const result = await extractText({
pdfPath: './scanned-document.pdf',
options: {
ocr: true,
language: 'eng',
ocrQuality: 'high'
}
});
// OCR will be used (scanned document detected)extractTextExtract text content from a single PDF file.
Parameters:
pdfPath (string, required): Path to PDF fileoptions (object, optional): Extraction optionsoutputFormat (string): 'text' | 'json' | 'markdown' | 'html'ocr (boolean): Enable OCR for scanned docslanguage (string): OCR language code ('eng', 'spa', 'fra', 'deu')preserveFormatting (boolean): Keep headings/structureminConfidence (number): Minimum OCR confidence score (0-100)Returns:
text (string): Extracted text contentpages (number): Number of pages processedwordCount (number): Total word countcharCount (number): Total character countlanguage (string): Detected languagemetadata (object): PDF metadata (title, author, creation date)method (string): 'text' or 'ocr' (extraction method)extractBatchExtract text from multiple PDF files at once.
Parameters:
pdfFiles (array, required): Array of PDF file pathsoptions (object, optional): Same as extractTextReturns:
results (array): Array of extraction resultstotalPages (number): Total pages across all PDFssuccessCount (number): Successfully extractedfailureCount (number): Failed extractionserrors (array): Error details for failurescountWordsCount words in extracted text.
Parameters:
text (string, required): Text to countoptions (object, optional):minWordLength (number): Minimum characters per word (default: 3)excludeNumbers (boolean): Don't count numbers as wordscountByPage (boolean): Return word count per pageReturns:
wordCount (number): Total word countcharCount (number): Total character countpageCounts (array): Word count per pageaverageWordsPerPage (number): Average words per pagedetectLanguageDetect the language of extracted text.
Parameters:
text (string, required): Text to analyzeminConfidence (number): Minimum confidence for detectionReturns:
language (string): Detected language codelanguageName (string): Full language nameconfidence (number): Confidence score (0-100)config.json:{
"ocr": {
"enabled": true,
"defaultLanguage": "eng",
"quality": "medium",
"languages": ["eng", "spa", "fra", "deu"]
},
"output": {
"defaultFormat": "text",
"preserveFormatting": true,
"includeMetadata": true
},
"batch": {
"maxConcurrent": 3,
"timeoutSeconds": 30
}
}const invoice = await extractText('./invoice.pdf');
console.log(invoice.text);
// "INVOICE #12345 Date: 2026-02-04..."const contract = await extractText('./scanned-contract.pdf', {
ocr: true,
language: 'eng',
ocrQuality: 'high'
});
console.log(contract.text);
// "AGREEMENT This contract between..."const docs = await extractBatch([
'./doc1.pdf',
'./doc2.pdf',
'./doc3.pdf',
'./doc4.pdf'
]);
console.log(`Processed ${docs.successCount}/${docs.results.length} documents`);MIT
Extract text from PDFs. Fast, accurate, zero dependencies. ๐ฎ
Generated Mar 1, 2026
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Offer a cloud-based PDF extraction service with tiered pricing based on usage volume (e.g., pages processed per month). Target small businesses with a free tier for basic needs and premium plans for advanced features like high-quality OCR and batch processing, generating recurring revenue.
License the skill as an API for integration into existing software platforms, such as document management or workflow automation tools. Charge per API call or through enterprise licensing agreements, providing scalable revenue from developers and large organizations needing embedded extraction capabilities.
Provide consulting services to customize the skill for specific industry needs, such as adding language support or integrating with proprietary systems. Offer implementation support, training, and maintenance contracts, generating project-based and ongoing service revenue.
๐ฌ Integration Tip
Start by testing with text-based PDFs to ensure basic functionality, then enable OCR for scanned documents; use the batch processing feature for handling multiple files efficiently in production workflows.
Fast local PDF parsing with PyMuPDF (fitz) for Markdown/JSON outputs and optional images/tables. Use when speed matters more than robustness, or as a fallback while heavier parsers are unavailable. Default to single-PDF parsing with per-document output folders.
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