Actions132
- AI Actions
- Extract Text From Document
- Check Content Policy
- Detect Adult Content
- Detect Brand
- Detect Color
- Detect Email Type
- Detect Faces
- Extract Entities
- Extract Contact Information
- Extract Customizable Information From Text
- Fuzzy Text Matcher
- Generate Image
- Generate JavaScript Code
- Generate Python Code
- Detect Language
- Detect Mood
- Extract Text From PDF
- Recognize Objects in Image
- Extract Text From Image
- Redact Sensitive Information From PDF
- Remove Background Image
- Summarize Text
- Transcribe
- Translate Text
- Image Actions
- Business Actions
- Convert Actions
- Generate Actions
- Crypto Actions
- Operator Actions
- Storage Actions
- Scheduler Actions
- Text Actions
- Chart Actions
- Code Actions
- Calculate Actions
- Date and Time Actions
- PDF Actions
- Compress PDF File
- Count PDF Pages
- Create Empty PDF
- Decrypt PDF
- Convert DOCX to PDF
- Draw Image on PDF
- Draw Text on PDF
- Encrypt PDF
- Convert HTML to PDF
- Convert Markdown to PDF
- Manage PDF Metadata
- Merge PDF Files
- Add PDF Pages
- Remove PDF Pages
- Resize PDF Pages
- Rotate PDF Pages
- Convert PDF to Base64
- Convert PDF to Image
- Split PDF File
- Add Image Watermark to PDF
- Add Text Watermark to PDF
- Shortened URL Actions
AI → Extract Text From Document
AI-generatedOverview
The node provides a set of no-code utility tools grouped under various resources, including Artificial Intelligence (AI). Specifically, the "Extract Text From Document" operation under the AI resource allows users to extract text content from documents accessible via a URL. This is useful for automating data extraction from PDFs or other document formats hosted online, enabling workflows such as document indexing, content analysis, or data ingestion without manual intervention.
Practical examples include:
- Extracting text from invoices or contracts stored on a web server.
- Automating the processing of reports or forms available via URLs.
- Feeding extracted textual data into further processing nodes like sentiment analysis or keyword extraction.
Properties
| Name | Meaning |
|---|---|
| Document URL | The URL of the document to extract text from. Example: https://example.com/document.pdf |
Output
The node outputs JSON data containing the extracted text from the specified document. The exact structure is not detailed in the source code, but typically it would include fields such as the full extracted text or segmented text blocks.
If the node supports binary data output (e.g., images or PDFs), it would represent the raw document or processed files; however, this is not explicitly indicated in the provided code snippet.
Dependencies
- Requires an API key credential for authentication with the external service at
https://prod.0codekit.com. - The node sends a POST request to the
/ai/advancedocrendpoint with the document URL in the request body. - No additional environment variables are indicated beyond the API key credential.
Troubleshooting
- Common issues:
- Invalid or inaccessible document URL leading to failed requests.
- Missing or invalid API key causing authentication errors.
- Unsupported document formats that the OCR service cannot process.
- Error messages:
- Authentication failures: Ensure the API key credential is correctly configured.
- Network errors: Verify the document URL is reachable and correct.
- Parsing errors: Confirm the document format is supported by the OCR endpoint.
Links and References
- 0CodeKit API Documentation (assumed base URL for API)
- General OCR technology overview: https://en.wikipedia.org/wiki/Optical_character_recognition