ceven

OCR.space

Extracts text from images and PDFs to feed structured data into your workflows, parses scanned documents into usable fields, and triggers downstream automations based on document content.

Try OCR.space in Ceven

Ask Ceven anything
Standard

Why use Ceven?

  1. AI native OCR.space integration

    • Describe the outcome and Ceven picks the right OCR.space calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your OCR.space data, across all 3 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke OCR.space access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in OCR.space, when, and on whose behalf.
    • The agent pauses and asks when OCR.space is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach OCR.space.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every OCR.space action to support review and sign off.

Supported tools

Every action Ceven's agents can run on OCR.space, and when to use it.

Parse image
Use this when you need to extract text from a URL or uploaded image file. Pulls raw text and coordinates for further processing.
Parse PDF
Extract text from multi page PDF documents. Use this for long contracts or multi page invoices.
Search image text
Scan a document for a specific string or keyword to determine if it meets routing criteria.
Extract table data
Attempt to isolate tabular structures from an image to pull line items for a spreadsheet.
Get OCR status
Check the processing state of a large PDF file submitted for asynchronous extraction.
Convert image to text
Run a standard OCR pass on a JPG or PNG to get a full text dump of the page.
Validate document format
Check if an uploaded file is a supported image or PDF type before sending it to the engine.
Analyze layout
Pull the positional data of text blocks to identify headers and footers in a scan.
Extract text by region
Define a specific coordinate box on an image and pull only the text within that area.
Route document text
Send the extracted text to a specific destination based on the detected language.
Clear OCR cache
Remove previously processed document results from the temporary storage of the API.
Batch submit files
Send a list of image URLs for sequential processing in a single workflow run.
OCR Parse Image
Tool to submit image or pdf to ocr.space for ocr processing.

13 actions · scroll to see them all

Frequently asked questions

Ceven manages large files by utilizing the asynchronous processing mode of the OCR.space API. When a multi page PDF is submitted, the agent does not wait for a synchronous response which would likely time out. Instead, it submits the file, receives a job ID, and then polls the status endpoint at regular intervals. Once the engine signals that the text extraction is complete, Ceven pulls the full JSON result and continues the workflow. This ensures that documents with dozens of pages are processed reliably without breaking the automation chain or causing a gateway timeout in the agent environment.
The accuracy of the extraction depends entirely on the resolution and clarity of the source image. When OCR.space returns a result, it often includes a confidence score for the detected text. Ceven can be configured to check this score. If the confidence falls below a certain threshold, the agent can trigger a human in the loop event. This means instead of passing bad data into your database, the workflow pauses and sends a notification to a user to manually verify the text. This prevents garbage data from polluting your records while still automating the clear cases.
Yes, OCR.space enforces strict rate limits depending on your API key tier. The free tier has a limited number of requests per minute and a maximum file size limit. If a Ceven workflow hits these limits, the API returns a specific error code. Ceven handles this by implementing an exponential backoff strategy, meaning the agent will wait a few seconds before retrying the request. For high volume enterprise users, we recommend using a paid OCR.space key to avoid these throttles and to unlock larger file size uploads and faster processing speeds.
OCR.space is primarily optimized for printed text. While it can attempt to read handwriting, the accuracy is significantly lower than it is for typed documents. If your workflow requires heavy handwriting recognition, you may see more errors in the extracted text. To mitigate this, we recommend using the agent to flag documents that contain non standard characters or low confidence scores. The agent can then route these specific files to a manual review queue while the printed invoices and forms continue to flow through the automated pipeline without any human intervention.
Yes, the service supports a wide array of languages. When Ceven calls the OCR.space API, it can specify the language code in the request. If you are processing documents from global vendors, you can build a workflow that first detects the language of the document or uses a predefined mapping based on the sender email. Once the language is identified, the agent tells the engine which character set to use, which greatly improves the accuracy of the extraction for non Latin scripts or accented characters common in European and Asian languages.
When Ceven sends a document to OCR.space, the file is transmitted over an encrypted HTTPS connection. The service processes the image and returns the text in JSON format. You can configure the API request to tell OCR.space not to store the image on their servers after the processing is complete. By enabling the no store option, the file exists only in memory during the extraction process and is deleted immediately after the response is sent back to Ceven. This is critical for users handling sensitive financial or personal identity documents.
The engine can extract text from tables, but it returns the data as a stream of text or with positional coordinates rather than a perfect spreadsheet. Ceven solves this by taking the raw coordinate data and using a large language model to reconstruct the table. The agent looks at the x and y positions of the words to determine which pieces of text belong in the same row or column. This allows you to turn a picture of a table into a structured CSV or a database entry, though extremely complex layouts may still require manual adjustment.
OCR.space supports the most common image and document formats including JPG, PNG, TIFF, and PDF. Ceven can handle these files whether they are uploaded directly as binary data or provided as a public URL. If you are using a cloud storage provider like S3 or Google Drive, the agent can pass the direct link to the API. One quirk to note is that password protected PDFs cannot be processed by the API; the workflow will fail if the file is encrypted, so you must ensure documents are decrypted before they reach the OCR stage.

Alternatives to OCR.space

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

Tesseract logoTesseractAWS Textract logoAWS TextractGoogle Cloud Vision logoGoogle Cloud VisionAzure AI Document Intelligence logoAzure AI Document Intelligence

Try Ceven on your stack

Plug Ceven on top of the tools you already run. Connect OCR.space and the rest of your stack, describe the outcome, and its agents handle the work end to end, days of it in minutes.

Get started for free