ceven

Algodocs

Extracts structured data from unstructured business documents and pushes the results into your downstream systems without manual entry.

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Why use Ceven?

  1. AI native Algodocs integration

    • Describe the outcome and Ceven picks the right Algodocs 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 Algodocs 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 Algodocs 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 Algodocs, when, and on whose behalf.
    • The agent pauses and asks when Algodocs is unclear instead of plowing ahead.

  4. Enterprise grade security

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

Supported tools

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

Upload document
Send a file to Algodocs for processing. Use this to start the extraction flow for a new invoice or contract.
Get extraction results
Pull the structured JSON data from a processed document. Use this to populate fields in your database.
Check document status
Verify if a document is still processing or if the extraction is complete. Use this to poll for results.
List processed files
Pull a list of all documents processed within a specific date range. Useful for daily audit reports.
Delete document
Remove a document and its extracted data from the platform. Use this for data privacy compliance.
Update extraction field
Manually correct a field value that the AI missed. This helps refine the data before it hits your ERP.
Search documents
Find a specific document by file name or unique identifier. Use this to locate a prior invoice.
Get account usage
Pull current credit consumption and page counts. Use this to monitor your monthly billing tier.
Download original file
Retrieve the source document associated with a specific extraction ID for visual verification.
Create extraction project
Organize documents into a named project. Use this to separate different vendor types or departments.
Assign document tag
Add a custom label to a document. Use this to categorize files as urgent or approved.
Get extraction confidence
Pull the probability score for each extracted field to determine if a human needs to review the data.

12 actions · scroll to see them all

Frequently asked questions

Algodocs uses advanced optical character recognition to interpret handwriting. While it is highly accurate for clear print, cursive or very messy handwriting can lower the confidence score of the extraction. Ceven handles this by reading the confidence score returned by the API. If the score falls below a threshold you set, the agent will not push the data to your ERP but will instead create a task for a human to review the document and the suggested text. This ensures that poor handwriting does not lead to incorrect financial entries in your books while still automating the majority of the work.
Algodocs can process very large documents, but there is a hard limit of 50 pages per single file upload on most standard plans. If you attempt to upload a file larger than this, the API will return an error. To handle larger documents, you should use a pre processing step to split the PDF into smaller chunks before sending them to the agent. Once split, the agent can process each part sequentially and then merge the extracted data back together into a single record based on a common identifier like a purchase order number.
No, that is the primary advantage of Algodocs. It uses a template free approach powered by large language models that understand the context of a document. Whether it is a utility bill from one city or a custom invoice from a small vendor, the AI identifies the labels and values based on their position and meaning rather than a fixed coordinate map. This means you do not have to spend hours mapping fields every time you onboard a new supplier. The agent simply asks for the data it needs and Algodocs finds it regardless of the layout.
All data transmitted between Ceven and Algodocs is encrypted using industry standard TLS protocols during transit. Once the document reaches Algodocs, it is stored in an encrypted environment. Depending on your plan, Algodocs offers different data retention policies. You can configure the agent to trigger a delete document action immediately after the data is successfully pushed to your internal system, ensuring that sensitive documents do not reside on the platform longer than necessary for the extraction process to complete.
Yes, Algodocs supports multi language extraction across dozens of major global languages. The AI detects the language of the document automatically and extracts the data accordingly. If you need the output translated into English for your internal systems, Ceven can pipe the extracted text through a translation step before saving it to your database. This is particularly useful for global supply chains where invoices arrive in multiple languages but the central finance team operates in a single language.
When a value is extracted incorrectly, the confidence score for that specific field is usually lower. You can set up a workflow where any field with a confidence score below eighty percent is flagged. The agent will then send a notification to a user with a link to the document and the extracted value. Once the user corrects the value in the Algodocs dashboard or via the Ceven interface, the agent updates the record in your downstream system. This creates a human in the loop system that maintains high data integrity.
Algodocs typically operates on a credit based system where each page processed consumes a certain number of credits. Because Ceven can trigger these calls automatically, it is possible to consume credits quickly if you have a high volume of documents. We recommend using the get account usage action to create a monitoring workflow. You can have the agent alert you when your credit balance drops below a certain level so you can top up your account and avoid any interruptions in your document processing pipeline.
Yes, Algodocs supports a variety of image formats including JPG and PNG. This makes it ideal for workflows where users upload photos of receipts taken on a mobile phone. The agent can monitor a folder or a chat channel, send the image to Algodocs, and extract the total, tax, and vendor name. The image processing engine handles rotation and skew, so even if the photo is taken at an angle, the AI can usually normalize the image and extract the text accurately without any manual pre processing.

Alternatives to Algodocs

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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