Connect your stack
27 native integrations. 3,200+ tools via managed connectors. Most are one-click OAuth, some use API keys - Viktor handles auth and starts working. No webhooks, no Zapier zaps.
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Viktor is an AI employee that connects to AlgoDocs with a scoped API key and helps you extract structured data from scanned invoices and receipts, running 4 AlgoDocs actions for you like Upload File, List Folders, and List Documents. Ask in plain English in Slack or Microsoft Teams; Viktor does the work in AlgoDocs and reports back. Setup takes about two minutes.
Free to start · No credit card · SOC 2 Type 1 · Works in Slack & Microsoft Teams
Messages you'd actually send. Paste one into Slack or Microsoft Teams, swap in your specifics, and Viktor takes it from there.
“Extract the line items from these invoices using AlgoDocs and put them in a sheet.”
— you, in Slack or Teams
“Pull the totals from this batch of receipts in AlgoDocs and flag anything unusual.”
— you, in Slack or Teams
“Watch the inbox for new receipts, run them through AlgoDocs, and log the results every day.”
— you, in Slack or Teams
“Extract the key terms from this contract using AlgoDocs and summarize them.”
— you, in Slack or Teams
Ask in plain English in Slack or Microsoft Teams. Viktor picks the right AlgoDocs actions, runs the work, and reports back. No workflows to build.
Uploads a local file to an AlgoDocs folder for processing by a specific extractor via multipart/form-data (POST /v1/document/uploadlocal/{extractorId}/{folderId}). Returns the created document record including its id and upload metadata. Run List Extractors to find a valid extractor ID and List Folders to find a valid folder ID before calling this action. The returned document id is the value to configure in New Extracted Data.
Lists all folders in the authenticated AlgoDocs account (GET /v1/folders). Each folder includes at least id and name. Use this to discover a valid folderId before running Upload File.
Lists all extractors in the authenticated AlgoDocs account (GET /v1/extractors). Each extractor includes at least id and name. Use this to discover a valid extractorId before running Upload File or List Documents.
Lists documents for a given extractor by reading extraction records (GET /v1/extracteddata/{extractorId}) and returning their documentId and fileName, deduplicated by documentId. AlgoDocs has no dedicated documents endpoint, so this action derives the document list from extracted data. Use it to discover a valid documentId before configuring New Extracted Data. Run List Extractors to find a valid extractor ID first.
27 native integrations. 3,200+ tools via managed connectors. Most are one-click OAuth, some use API keys - Viktor handles auth and starts working. No webhooks, no Zapier zaps.
Message Viktor in Slack like you'd message a teammate. "Extract the line items from these invoices using AlgoDocs and put them in a sheet." "Pull the totals from this batch of receipts in AlgoDocs and flag anything unusual." Plain English, any tool.
Viktor opens AlgoDocs, runs the work, and posts back what changed. Sensitive actions wait for your approval. Everything is logged. You stop doing the work and start reviewing it.
A AlgoDocs AI agent is an AI that connects to your AlgoDocs account and completes work in it - it doesn't just answer questions about AlgoDocs, it takes the actions. Viktor is that agent: an AI employee that works in AlgoDocs on your behalf and delivers the finished result in Slack or Microsoft Teams.
Unlike workflow builders such as Zapier or Make, there is nothing to configure - no triggers to map, no workflows to maintain. You describe the outcome in plain English, and Viktor picks the right AlgoDocs actions, chains them with the other 3,200+ tools it connects to, and asks for approval before anything sensitive runs.
Intelligent Document Processing - AI-Powered Document Data Extraction
Scoped API keys - Viktor stores your key securely, uses only the scopes you grant, and you can revoke it at any time.
Review-first approvals: sensitive AlgoDocs actions wait for your sign-off before they run.
Isolated compute per team, encrypted in transit and at rest - and your data is never used to train models.
SOC 2 Type 1 compliant, with Type 2 and ISO 27001 in progress.
Yes. AlgoDocs is one of the 3,200+ tools Viktor connects to, via a managed connector. Once connected, anyone on your team can put Viktor to work in AlgoDocs from Slack or Microsoft Teams - no workflow builder, no code.
Ask for outcomes that span tools — Viktor pulls from AlgoDocs, cross-references the rest of your stack, and delivers one finished result.
Viktor connects to 3,200+ tools and works across them in a single run.
