Google Document AI alternative
Document AI is a catalog, and what comes back depends on the processor you picked. Meibel is one pipeline: define the schema once and every document returns it.
Meibel vs Google Document AI
A catalog of processors, and several are good: Enterprise Document OCR, Layout Parser with a document hierarchy and layout-aware chunks, specialized processors for invoices, IDs and tax forms, and a Custom Extractor that works zero-shot from a schema. Each has its own rate and output shape.
Documents become data. Data becomes agents. Meibel reads any document zero-shot into a schema you define, stores it for search and SQL, scores every step, and runs agents on it inside our guardrails, we call them Hardrails.
What you still build
One pipeline and one schema for every document type.
A processor per job. The output shape depends on the processor, so routing and normalizing are your code.
Zero-shot from your schema.
Custom Extractor also works zero-shot from a schema. Credit where due. Processor versions carry published shutdown dates, so migrations recur.
Charts read into data through vision models.
Figures come back as figures. Chart-to-data isn't in the catalog.
Semantic search and SQL over the extracted tables, on one corpus.
Not in Document AI. Search, warehouse and query layer are separate products or your code.
Every step scored on the checks you choose. You decide what a low score triggers: a retry, a person or a gate.
Confidence per field, token, block and page. Human-in-the-Loop review was deprecated on 16 January 2024.
Agents built, versioned and run on the same data, inside Hardrails that set what each one can see and call.
Separate products or your own code.
What Meibel adds
Invoices, statements, spec sheets and scans go through one pipeline and come back in one schema.
Extracted tables land in a database. Agents write SQL, so the database does the math, not the model.
Run them in Claude, Copilot, your own apps or in batch, with every step scored and sourced.
On the tier most teams compare, Meibel: Layout Parser is $10 per 1,000 pages, $0.010 a page, against $0.008 for a Meibel text page. Google is cheaper on plain OCR at $1.50 per 1,000 pages, and on dense pages: Form Parser and Custom Extractor are $30 per 1,000 against our $0.04 advanced page.
No. Meibel runs in Meibel Cloud or on your own infrastructure. Your storage, your warehouse and the models you already call stay as they are, and LLM costs pass through at cost, so existing Gemini usage stays existing Gemini usage.
When your documents are one type, a processor covers it and the output is good enough. Teams move to Meibel when the corpus keeps growing new document types and the routing code becomes the thing they maintain.
Try it on a mixed folder
Invoices, statements, spec sheets and scans in one batch. Get one schema back across all of them, then query it.
Based on Google's public documentation, retrieved September 2026: pricing, deprecations, limits, Custom Extractor. We update this page when products change. See the use cases.