DocBatch.ai

DocBatch.ai is an AI-powered batch document processing platform that extracts structured data from high volumes of PDFs and images. Designed for teams that need to process invoices, receipts, contracts, forms, or any document type at scale, it replaces manual data entry or expensive real-time API calls with a simple upload-and-extract workflow. Users define their extraction schema using natural language or visual selection, upload documents in batches (from 10 to 10,000+), and receive results in JSON, CSV, or Excel — all while paying per document with no subscription. Unlike traditional OCR or direct API integrations, DocBatch.ai leverages the same frontier AI models (OpenAI, Anthropic, Google Cloud, AWS, Meta) but processes jobs during off-peak hours to cut costs up to 70% versus real-time APIs. The platform handles file uploads, schema definition, batch scheduling, and result download with no code required. Files are encrypted in transit, processed in isolation, and automatically deleted after successful extraction — never used for model training. Its pricing is refreshingly simple: 1 credit = 1 document, credit packs from $24.90 for 1,000 credits (never expire), and 20 free credits to start. The comparison slider on the pricing page estimates savings of ~69% over manual processing or direct APIs. DocBatch.ai is built by Naviria Labs, a Madrid-based tech company specializing in AI, cloud computing, and FinOps, launched in 2025. The platform is particularly suited for finance teams, operations managers, SaaS startups, and any business processing hundreds to thousands of documents monthly. Compared to real-time OCR APIs like AWS Textract or Google Document AI, DocBatch.ai offers significantly lower per-document costs by deferring processing, though it cannot deliver sub-second results. For teams where latency is irrelevant, the savings are substantial — typically 50-70% less than direct API costs, with accuracy comparable to the underlying models.