Image & Scanned PDF to Text (OCR) MCPサーバー
コミット 2026年11月7日Extracts text from images, screenshots, and scanned PDFs in 41 languages with line positions and confidence scores.
別名 prometheus-maker/apify-tools-examples, image-ocr
- スター
- 0
- ツール
- —
- ダウンロード数(30日間)
- —
- 最新バージョン
- 1.0.0
- 最終コミット
- 2026年11月7日
- ライセンス
- MIT
Image & Scanned PDF to Text (OCR) MCPとは
Image & Scanned PDF to Text (OCR)はMCPサーバーです。 Extracts text from images, screenshots, and scanned PDFs in 41 languages with line positions and confidence scores.
プロジェクトのREADMEから生成された概要
Image & Scanned PDF to Text (OCR) MCP server について
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.
できること
- 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.
プロジェクトの README から作成されています。すべてのユースケースは、その引用と照らし合わせて確認されています。
Image & Scanned PDF to Text (OCR) MCPのインストール方法
フォーマット検証日 2026年11月10日Cursor に追加Gooseに追加Claude CodeにImage & Scanned PDF to Text (OCR) MCPをインストール
$ claude mcp add --transport http image-ocr https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocrCursorにImage & Scanned PDF to Text (OCR) MCPをインストール
~/.cursor/mcp.json
{
"mcpServers": {
"image-ocr": {
"url": "https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr"
}
}
}VS CodeにImage & Scanned PDF to Text (OCR) MCPをインストール
.vscode/mcp.json
{
"servers": {
"image-ocr": {
"type": "http",
"url": "https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr"
}
}
}VS Code CLIにImage & Scanned PDF to Text (OCR) MCPをインストール
$ code --add-mcp '{"name":"image-ocr","type":"http","url":"https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr"}'CodexにImage & Scanned PDF to Text (OCR) MCPをインストール
$ codex mcp add image-ocr --url 'https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr'Codex config.tomlにImage & Scanned PDF to Text (OCR) MCPをインストール
~/.codex/config.toml
[mcp_servers.image-ocr] url = "https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr"
Gemini CLIにImage & Scanned PDF to Text (OCR) MCPをインストール
$ gemini mcp add -s user --transport http image-ocr 'https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr'Gemini settings.jsonにImage & Scanned PDF to Text (OCR) MCPをインストール
~/.gemini/settings.json
{
"mcpServers": {
"image-ocr": {
"url": "https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocr",
"type": "http"
}
}
}設定
APIFY_TOKEN
| 名前 | 説明 | 種類 |
|---|---|---|
| APIFY_TOKEN | — |
自動チェック
実行日 2026年11月14日完全なレポート →まだ検証されていません。サーバーには80点のスコア、重大な問題がないこと、および検証に必要な十分なデータが必要です。 チェックの仕組み · 点数を上げるための改善点
- ソースリポジトリがリンクされており、アクセス可能prometheus-maker/apify-tools-examples is public and reachablegithub.com/prometheus-maker/apify-tools-examples ↗合格
- パッケージがこのリポジトリをソースとして指定未チェック
- ビルドの来歴 (Sigstore 証明)未チェック
- オープンソースライセンス (OSI)MITspdx.org/licenses/MIT.html ↗合格
- 過去1年以内にコミットまたはリリースありLast commit or release 2026-11-07github.com/prometheus-maker/apify-tools-examples ↗合格
- OpenSSF Scorecard未チェック
- パッケージ名が有名なパッケージに酷似していない未チェック
- パッケージおよびその依存関係に重大な勧告なし未チェック
- モデルへの隠れた指示がない0 tool descriptions and the README read; no override phrases, credential paths or hidden characters合格
- 破壊的なツールがラベル付けされている未チェック
- リモートエンドポイントが MCP ハンドシェイクに応答HTTPS endpoint answered 401 (sign-in required)合格
README
GitHubで見るApify 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のよくある質問
Image & Scanned PDF to Text (OCR) MCPをClaude Codeに追加するには
ターミナルでclaude mcp add --transport http image-ocr https://mcp.apify.com/?tools=prometheus-maker/image-to-text-ocrを実行します。すべてのプロジェクトで利用するには--scope userを追加します。
Image & Scanned PDF to Text (OCR) MCPをCursorに追加するには
~/.cursor/mcp.jsonを開き、上記のインストールセクションに示すCursor設定を使ってmcpServersの下にサーバーを追加します。
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.