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Extracta.ai

Automates the extraction of structured data from PDFs and images to feed your downstream databases and triggers workflows based on the found values.

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Why use Ceven?

  1. AI native Extracta.ai integration

    • Describe the outcome and Ceven picks the right Extracta.ai 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 Extracta.ai data, across all 10 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Extracta.ai 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 Extracta.ai, when, and on whose behalf.
    • The agent pauses and asks when Extracta.ai is unclear instead of plowing ahead.

  4. Enterprise grade security

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

Supported tools

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

Create extraction
Use this when you have a document file and a list of fields to extract. This starts the AI process and returns a tracking ID.
View extraction
Pull the current status and the final structured data for a specific extraction ID once processing is complete.
Delete extraction
Remove a specific extraction record from the system using the extraction ID. Use this for data cleanup or error correction.
List extractions
Pull a list of recent extraction jobs to monitor throughput or find specific files processed in a date range.
Update extraction settings
Modify the extraction parameters or field definitions for a specific document type to improve accuracy.
Get extraction schema
Pull the current field definitions used for a specific document template to ensure mapping matches your database.
Create extraction template
Define a new set of fields to be extracted from a specific category of documents for future use.
Delete extraction template
Remove a document template that is no longer needed for your extraction workflows.
List templates
Pull all available extraction templates to see which document types are currently supported by your account.
Search extractions
Query extractions by metadata or specific extracted values to find a document associated with a customer or order.
Get account usage
Pull the number of pages processed this month to track against your Extracta.ai subscription limits.
Batch create extractions
Send a group of documents for processing in one call to handle large volume uploads efficiently.

12 actions · scroll to see them all

Frequently asked questions

When Extracta.ai returns a low confidence score or fails to find a required field, Ceven triggers a fallback workflow. The agent marks the record as pending review and sends a notification to a human operator with a direct link to the document. You can define specific confidence thresholds for each field so that only high risk omissions trigger a human alert. Once the human corrects the value in the interface, Ceven pushes the updated data to your final destination and marks the job as complete. This ensures that your database never contains guessed data while keeping the automation moving for the majority of clear documents.
Extracta.ai has specific limits on the size of the files you can upload via the API. Typically, individual files must be under 20MB to ensure timely processing. If you attempt to send a file larger than this, the API will return an error. Ceven handles this by checking the file size before the upload begins. If the file is too large, the agent can attempt to split the PDF into smaller chunks or notify you that the file exceeds the vendor limit. This prevents workflow crashes and allows you to handle oversized documents through an alternative manual path or a pre processing compression step.
Ceven acts as the orchestration layer and does not permanently store the raw extracted data from Extracta.ai unless you explicitly map that data to a field in your own connected database or CRM. The agent pulls the result from the Extracta.ai API, transforms it into the format your downstream tool requires, and pushes it forward. Once the workflow step is completed and the data is successfully delivered, the transient data in the workflow memory is cleared. This architecture minimizes the data footprint and ensures that your sensitive document information remains within your controlled environments and the vendor platform.
Yes, Extracta.ai uses advanced OCR and LLM logic to interpret handwritten text, though accuracy depends on the legibility of the writing. Ceven can be configured to treat handwritten fields with extra scrutiny. By setting a lower confidence threshold for handwritten areas, the agent can automatically route any document containing handwriting to a human for a quick spot check. This hybrid approach allows you to automate the bulk of your document intake while maintaining high precision for the trickier handwritten portions of your forms, such as signatures or manually entered date fields on physical shipping logs.
Extracta.ai typically charges based on the number of pages processed. Every time a Ceven workflow calls the Create extraction action, it consumes credits from your Extracta.ai account. To prevent unexpected costs, you can use the Get account usage action within a Ceven workflow to monitor your remaining balance. You can even build a guardrail that pauses all extraction workflows if your monthly credit limit reaches ninety percent, sending an alert to your admin to top up the account. This gives you full visibility into the cost of your automation without having to check the vendor dashboard manually.
One of the primary advantages of Extracta.ai is that it is zero shot, meaning it does not require a training set of documents to start working. It uses large language models to understand the context of the document and find the fields you ask for. Ceven leverages this by allowing you to simply describe the fields you need in the extraction request. If you find that the AI is consistently missing a specific nuance, you can refine the field description in your Ceven workflow, which effectively guides the AI to look for the data in a different way without needing to upload hundreds of examples.
Ceven implements an exponential backoff retry logic for all API calls to Extracta.ai. If the service returns a five hundred series error or a rate limit warning, the agent will wait a few seconds before trying again, increasing the interval between attempts. If the service remains unavailable after several retries, Ceven will move the document into a failed queue and alert you via your preferred notification channel. This ensures that no document is ever lost due to a temporary outage and allows you to reprocess the failed queue in bulk once the service is restored.
Yes, Extracta.ai imposes rate limits on the number of concurrent extraction requests based on your subscription tier. For example, lower tiers may be limited to a few concurrent jobs, while enterprise tiers have much higher ceilings. If you trigger a massive batch of documents through Ceven that exceeds these limits, Extracta.ai will return a four twenty nine error. Ceven manages this by queuing the requests and processing them sequentially or in small batches to stay within your specific tier limits. This prevents your API key from being temporarily blocked and ensures a steady flow of data processing regardless of your volume spikes.

Alternatives to Extracta.ai

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

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