Kita Capture
Document extraction and fraud-check service for lenders: layout models, vision language models and an agentic review pass read bank statements, IDs, payslips, tax and business documents at any quality, return credit risk signals and cross-document contradictions, and flag edits and forgery, through a REST API, a Python SDK or a web portal.
Find alternatives to Kita Capture
What it does
- Document extraction
Sources
- Pricing
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Pricing page: "Kita Capture Document extraction and fraud checks, paid in credits. Month to month." with Lite 3,000, Starter 6,000 and Growth 15,000 credits a month and "Top up credits any time". "Every account starts with 100 free credits." is a one-off allowance, not a recurring free tier. No amounts are published.
- Description
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Official documentation · 21 Oct 2026
Page: "Capture leverages vision language models to pull the richest credit data from any document, regardless of format or submission type."
- What it does
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Official documentation · 21 Oct 2026
Page: "A multi-pass pipeline. Layout models break the document down, vision language models read it in context, and an agentic pass reviews the result. Fraud checks run alongside, not after."
- Sold within
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Pricing page: "Kita Capture and Kita Underwriter are separate products, priced separately." with its own monthly credit tiers and a Get started button.
- Name
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Official documentation · 21 Oct 2026
Page title "Kita Capture | Document extraction + fraud detection | Kita".
- URL
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Official documentation · 21 Oct 2026
The product's own page, listed in the site menu as "Kita Capture".
- Deployment
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Official documentation · 21 Oct 2026
The page describes a vendor-run API, SDK and web portal; saas is recorded as the vendor-operated reading.
- Interfaces
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Official documentation · 21 Oct 2026
Page: "Language-agnostic HTTP endpoints with webhook callbacks. Output in JSON, CSV, Excel, or custom." and "No-code portal to upload documents, review extractions, and export results."
- Modalities
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Official documentation · 21 Oct 2026
Page: "Blurry photos, crumpled scans, screenshots, clean PDFs." in and "Output in JSON, CSV, Excel, or custom." out.
- Intended for
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Official documentation · 21 Oct 2026
Page: "Capture reads every pixel, layer, and byte of metadata, then returns the risk signals underwriters act on", offered through a Python SDK, a REST API and a web portal, so lenders' engineers and credit teams.
Also from Kita
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Kita AI Underwriter AI agent
Underwriting agent that reads whatever a borrower sends, from tax returns to photographed ledgers, plus bank and external data, spreads the financials, tests them against the lender's credit policy and drafts a credit memo with every figure linked to its source page for a credit officer to decide; sold as a monthly licence per loan product plus a fee per application, rates not published, alongside credit-priced document capture.
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Kita AI Credit Officer AI agent
Messaging agent for lenders that contacts each borrower on WhatsApp, SMS or email in their own language the moment they apply, asks for the exact documents the loan needs, validates each upload as it lands, flags omissions and contradictions and keeps following up until the file is complete.
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Kita Risk Score API service
Document-based credit signal for lenders: vision models read any file a borrower uploads, from a PDF to a phone photo, extract more than 500 signals on financial capacity, document fidelity and upload intent, and return numeric repayment scores over an API as features for the lender's own credit model.
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Kita Intelligent LOS Platform
AI-native loan origination system for lenders that bundles the Kita modules into one pipeline: it takes in applications, chases missing documents, reads and fraud-checks every document, drafts the cited credit memo and returns the decision to the borrower, with a live portfolio view, a REST API with webhooks and connections to CRM, core banking and credit bureaus.
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