Image & Scanned PDF to Text (OCR) MCP server
Commit 7. Nov. 2026Extracts text from images, screenshots, and scanned PDFs in 41 languages with line positions and confidence scores.
Auch bekannt als prometheus-maker/apify-tools-examples, image-ocr
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- Neueste Version
- 1.0.0
- Letzter Commit
- 7. Nov. 2026
- Lizenz
- MIT
Was ist Image & Scanned PDF to Text (OCR) MCP?
Image & Scanned PDF to Text (OCR) ist ein MCP server. Extracts text from images, screenshots, and scanned PDFs in 41 languages with line positions and confidence scores.
Zusammenfassung generiert aus dem README des Projekts
Über Image & Scanned PDF to Text (OCR) MCP server
Extracting text from photos, screenshots, and scanned documents is what this MCP server enables for developers using AI clients like Claude or Cursor. It functions as a remote service hosted by Apify, requiring an Apify token for authentication within your client configuration. Users interact with the tool by providing image URLs to receive structured text data.
The server processes content in 41 different languages and provides detailed metadata, including line positions and confidence scores for the extracted text. It operates on a pay-per-use model at a rate of $0.004 per image or page, meaning there are no subscription fees. This setup allows for precise character recognition from visual inputs without managing local OCR engines.
Was du damit machen kannst
- 1Digitize scanned documentsConvert a scanned PDF or photo into machine-readable text for processing.
- 2Analyze document layoutRetrieve the specific spatial coordinates of text lines within an image.
- 3Verify OCR accuracyCheck the confidence scores of the extracted text to ensure quality.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du Image & Scanned PDF to Text (OCR) MCP
Formate geprüft am 10. Nov. 2026Image & Scanned PDF to Text (OCR) MCP in Claude Code installieren
$ claude mcp add --transport http image-ocr https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocrImage & Scanned PDF to Text (OCR) MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"image-ocr": {
"url": "https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr"
}
}
}Image & Scanned PDF to Text (OCR) MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"image-ocr": {
"type": "http",
"url": "https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr"
}
}
}Image & Scanned PDF to Text (OCR) MCP in Codex installieren
~/.codex/config.toml
[mcp_servers.image-ocr] url = "https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr"
Image & Scanned PDF to Text (OCR) MCP in Gemini CLI installieren
~/.gemini/settings.json
{
"mcpServers": {
"image-ocr": {
"httpUrl": "https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr"
}
}
}Konfiguration
APIFY_TOKEN
| Name | Beschreibung | Typ |
|---|---|---|
| APIFY_TOKEN | — |
Automatisierte Checks
Geluften am 14. Nov. 2026Vollständiger Bericht →Noch nicht verifiziert. Ein Server benötigt einen Score von 80, keine kritischen Befunde und genug Daten für unsere Prüfung. Wie die Checks funktionieren
- Source Repository verknüpft und erreichbarprometheus-maker/apify-tools-examples is public and reachablegithub.com/prometheus-maker/apify-tools-examples ↗Bestanden
- Paket nennt dieses Repository als QuelleNicht geprüft
- Build-Herkunft (Sigstore-Attestierung)Nicht geprüft
- Open Source Lizenz (OSI)MITspdx.org/licenses/MIT.html ↗Bestanden
- Commit oder Release im letzten JahrLast commit or release 2026-11-07github.com/prometheus-maker/apify-tools-examples ↗Bestanden
- OpenSSF ScorecardNicht geprüft
- Package-Name ähnelt keinem populären PackageNicht geprüft
- Kein kritischer Hinweis im Paket oder seinen AbhängigkeitenNicht geprüft
- Keine versteckten Anweisungen an das Modell0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersBestanden
- Destruktive Tools sind markiertNicht geprüft
- Remote-Endpoint beantwortet den MCP-HandshakeHTTPS endpoint answered 401 (sign-in required)Bestanden
README
Auf GitHub ansehenApify tools: PDF to Markdown, OCR, Website to Markdown crawler, SEO audit, Tech Stack
Working examples for my pay-per-use tools on the Apify Store. Each one is an API: send URLs, get JSON back. You only pay for what you process, and there's no subscription.
| Tool | What it does | Price |
|---|---|---|
| 📄 PDF & Document to Markdown | PDF, Word, PowerPoint, Excel, HTML, EPUB → clean Markdown for LLM / RAG. Tables, two-column papers, OCR for scans, chunking | $0.002 per document + $0.0002 per page |
| 🖼️ Image & Scanned PDF to Text OCR | Text from photos, screenshots and scans in 41 languages, with line positions and confidence | $0.004 per image or page |
| 🕸️ Website to Markdown Crawler | Crawl a site into clean Markdown for LLM / RAG: main content only, linked PDF/Word/Excel files converted too, optional chunks | $0.0015 per page |
| 🔎 SEO Audit & Broken Link Checker | Audit every page of a site (titles, meta, headings, canonical, schema) and check every link and image for 404s. 0-100 score per page | $0.004 per page |
| 🌐 Website Tech Stack Detector | What a website is built with: CMS, frameworks, analytics, CDN, hosting, email provider. 7,000+ technologies (BuiltWith / Wappalyzer alternative) | $0.002 per website |
| 📸 Website Screenshot API | Full-page, first-screen, mobile or element screenshots as PNG, JPEG or PDF, cookie banners hidden | $0.005 per full page, $0.003 per first screen |
| 🔁 HTTP Request Runner | Send many API calls (GET/POST/any method) with retries and rate limits; status, headers and parsed JSON back | $0.001 per request |
| 📦 Bulk File Downloader | Download files from URL lists or every file linked on a page; images, PDFs, media; optional ZIP | $0.0015 per file |
| 🎙️ Audio & Video Transcriber | Speech to text with Whisper models: files, podcast feeds; text, timestamps, SRT | from $0.003 per audio minute |
Full prices, including per-page rates and discounts for paid Apify plans, are on each Store page.
Quick start (curl)
Get an API token from Apify Console → Integrations, then:
curl -X POST "https://api.apify.com/v2/acts/prometheus-maker~website-tech-stack-detector/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
-d '{"urls": ["python.org"]}'
The same endpoint works for the other tools: replace the tool name and the input.
Use them from Claude, Cursor or any MCP client
Every tool is also an MCP server, hosted by Apify (streamable HTTP). Add one to your client with your Apify token:
{
"mcpServers": {
"pdf-to-markdown": {
"url": "https://mcp.apify.com/?tools=prometheus-maker/pdf-document-to-markdown",
"headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
}
}
}
Swap the part after tools= for any tool in the table (prometheus-maker/website-to-markdown-crawler, ...), or list
several separated by commas. The same entries are in the official MCP Registry
under io.github.prometheus-maker/* (files in mcp/). You pay per use, as with the API.
Python
pip install apify-client
export APIFY_TOKEN=...
python python/pdf_to_markdown.py # PDF → Markdown + RAG chunks
python python/image_to_text_ocr.py # image → text
python python/tech_stack.py # domains → technologies
python python/website_to_markdown.py # website → Markdown pages + chunks
python python/seo_audit.py # website → SEO scores, issues, broken links
The scripts are in python/. They use apify-client 3.x.
Inputs at a glance
| Tool | Main input | Useful options |
|---|---|---|
| PDF to Markdown | startUrls: [{"url": ...}] |
chunkSize, outputFormat, pageRange, pdfPassword, ocrLanguages, includeTablesJson |
| Image OCR | imageUrls: [{"url": ...}] |
languages (e.g. ["eng","deu"]), engine, includeLines (line positions) |
| Tech stack | urls: ["example.com", ...] |
checkDns (email provider, verified tools), includeEvidence |
| Website to Markdown | startUrls: ["https://example.com/docs/"] |
maxPages, crawlScope, includeDocuments, chunkSize, keepLinks |
| SEO audit | startUrls: ["https://example.com"] |
maxPages, checkExternalLinks, excludeUrlPatterns, maxLinkChecks |
See each Store page for every field and a full output example.
About
These tools are built and maintained by Prometheus (notes). Issues and requests are welcome in this repo.
Image & Scanned PDF to Text (OCR) MCP Fragen
Wie füge ich Image & Scanned PDF to Text (OCR) MCP zu Claude Code hinzu?
Führe claude mcp add --transport http image-ocr https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich Image & Scanned PDF to Text (OCR) MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
How much does the OCR tool cost?
The tool costs $0.004 per image or page processed.
What languages are supported for OCR?
The service supports text extraction in 41 different languages.
Can I get the position of the text lines?
Yes, the OCR tool provides line positions and confidence levels for the extracted text.