Google Document AI Alternative for PDF Tables to Excel Without a GCP Project
Google Document AI is a cloud API. Before it reads a single table you need a Google Cloud project, billing, a processor, a service account and code that turns its JSON into rows. If the job is getting the tables out of statements, invoices and reports into Excel, convert them here instead: upload the PDF, and every table comes back on its own sheet, scans included.
For finance and ops teams without a developer on call, and for developers who want XLSX back from an API.
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Upload a statement or report and compare the sheet with the original.
The short answer
Google Document AI is cheap per page, $30 per 1,000 pages on Form Parser and $10 on Layout Parser, but it is a developer product: it runs inside a Google Cloud project and returns JSON, not a spreadsheet. For a team that needs PDF tables in Excel and has no engineer to build and maintain that pipeline, a per file converter is the practical alternative. Our plans start at $49 a month for 50 files, with OCR and XLSX or CSV output included.
Why teams look for a Google Document AI alternative
Nobody leaves Document AI because the per page price is too high. It is one of the cheapest meters on the market. People leave because of everything that sits between the API and a finished workbook, and because the person who needs the numbers is rarely the person who can write the code.
A cloud project comes first
Project, billing account, enabled API, a processor per document type, a service account with the right role, and a storage bucket for batch jobs. IT often has to approve each piece.
JSON, not a workbook
Tables arrive as cells with text anchors inside a Document object. Someone writes the step that rebuilds rows and columns, keeps amounts numeric and saves the file.
15 pages per online request
Longer files go through batch processing, which is capped at 100 pages per document on Form Parser. A 150 page annual report has to be split before it is sent.
The script becomes a system
Credentials rotate, libraries update, a bank changes its statement layout. The quick script that one analyst wrote turns into something the team depends on and nobody maintains.
What Google Document AI costs for table extraction
Document AI has no plans or seats. You pay per page for the processor you call, on your Google Cloud bill. These are the pay as you go USD rates from Google's own pricing page for the processors that matter when the goal is tables.
| Processor | List price | Returns tables? |
|---|---|---|
| Enterprise Document OCR | First 1,000 pages a month at no charge, then $1.50 per 1,000 pages | No, text and layout blocks only |
| Layout Parser | $10 per 1,000 pages | Yes, with document structure and chunking |
| Form Parser | $30 per 1,000 pages, $20 above one million a month | Yes, plus key and value pairs and checkboxes |
| Custom Extractor | $30 per 1,000 pages, plus $0.05 an hour to host a deployed custom version | Fields you define and train |
| Bank Statement Parser | $0.75 per classified document | Named statement fields; limited access, by application |
Failed requests are not billed. Hosting a custom processor version all year works out to $438 on Google's own example. Savings plans take 10 or 20 percent off for one or three year commitments. Confirm on Google's site before you buy, because cloud prices change. The full breakdown, including the specialized parsers, is in our Google Document AI pricing guide.
Google Document AI vs PDFxlsx on five monthly workloads
The Document AI columns are the Google bill only, at list price, for the two processors that return tables. They leave out the engineering time to build the JSON to Excel step, which is the real cost for most finance teams and the reason this comparison exists.
| Monthly workload | Pages | Layout Parser | Form Parser | PDFxlsx plan |
|---|---|---|---|---|
| 40 one page vendor invoices | 40 | $0.40 | $1.20 | Starter, $49 |
| 45 twelve page bank statements | 540 | $5.40 | $16.20 | Starter, $49 |
| 150 thirty page brokerage statements | 4,500 | $45.00 | $135.00 | Plus, $99 |
| 300 twenty page loan files | 6,000 | $60.00 | $180.00 | Plus, $99 |
| 2,000 one page receipts | 2,000 | $20.00 | $60.00 | Pro, $199 |
On the raw API bill Document AI wins most of these rows, and we are not going to pretend otherwise. Forty invoices cost about a dollar on Form Parser. Only the long documents, the brokerage statements and loan files, cross over our Plus plan on Form Parser, and Layout Parser stays under it even there. If you have an engineer who can build and own the pipeline, Document AI is the cheaper way to read pages.
Add the hours before you compare
A working pipeline means the cloud setup, a script that splits long files, one that turns table cells into rows, handling for merged headers and negative amounts in parentheses, and someone to fix it when it breaks. At any normal loaded rate for a developer, a single day of that work costs more than a year of our Starter plan.
Then ask who runs it at month end
The people who need the numbers are accountants, underwriters and analysts. If each conversion has to wait for an engineer, the API's low page price does not help the close. A browser upload that any of them can use, with batches of up to 20 files on Plus and Pro, usually does.
Google Document AI and PDFxlsx side by side
These are different kinds of product that meet at one task: getting tables out of PDFs. Where Document AI is stronger, the table says so.
| Question | Google Document AI | PDFxlsx |
|---|---|---|
| What you get back | A Document object in JSON: text, layout, table cells, entities | An XLSX or CSV file, each table on its own sheet; JSON tables through the API |
| Who can use it | Developers, through client libraries and the REST API | Anyone with a browser; developers through the API on Pro |
| Setup before the first file | Cloud project, billing, API, processor, service account | An account |
| Billing unit | Per page, on your Google Cloud bill | Per file, flat monthly plan |
| Raw cost per page | Lower: one to three cents a page | $49 for 50 files, $99 for 500, $199 unlimited |
| Long documents | 15 pages per online request; batch up to 100 pages on Form Parser | One upload per file, up to 50 MB |
| Custom fields, IDs, classification, splitting | Yes, a full processor family with training | No; the output is the table as printed |
| Scanned PDFs | Strong OCR with handwriting and 200+ languages | OCR runs automatically on pages without a text layer |
| Team access | Through Google Cloud IAM roles | 1 seat on Starter, up to 5 on Plus, unlimited on Pro |
| Try before paying | Test in the Cloud console on a billing enabled project; new Google Cloud accounts get trial credits | 3 files on a free account, downloadable with a watermark sheet |
Where Google Document AI is the better buy
If you are building a product, or an internal system that already runs on Google Cloud, and it needs to read documents at volume, Document AI is hard to beat on price per page. Custom extractors, classifiers and splitters cover document types a table converter never will, and everything stays inside your own cloud account and its controls.
Where a converter wins
If the destination is Excel and the people doing the work are not developers, the cheapest per page API is still the long way round. Underwriters spreading statements, controllers pulling schedules out of reports and AP clerks checking invoice lines get the workbook in one step, and nobody owns a pipeline.
Who switches, and what they convert
Finance teams after a stalled project
A proof of concept worked on ten samples and never reached production. The team still needs to convert bank statements from PDF to Excel every month, today.
Analysts with long reports
Annual reports and fund statements run past the 100 page batch cap. Converting large PDFs to Excel as one upload removes the splitting step.
Developers who want XLSX back
Some teams keep an API but drop the JSON to workbook code. The PDF to Excel API returns the file itself from three endpoints.
From PDF to workbook with nothing to configure
Upload the PDF
In the browser, or POST it to the API on Pro. No processor, no bucket, no service account.
Tables are found
Digital pages are parsed directly; scanned pages go through OCR first.
Rows are rebuilt for you
Headers, dates and amounts land in their own columns, amounts kept numeric so totals add up.
Download XLSX or CSV
Or run up to 20 files in one batch on Plus and Pro and download them together.
Weighing the other cloud APIs too? The same per page arithmetic is worked through for Amazon Textract pricing and Azure Document Intelligence pricing, and the AWS and Microsoft options are compared directly on the Amazon Textract alternative and Azure Document Intelligence alternative pages. Teams choosing between hosted extraction platforms rather than raw APIs will find the Mindee alternative and Nanonets alternative comparisons closer to their decision.
If you only need the grid and not named fields, the PDF table extractor page shows what comes out of a messy multi table PDF, and month end folders are covered on batch PDF to Excel conversion.
Google Document AI alternative questions
It depends on who will use it. Engineering teams already on AWS or Azure usually compare Amazon Textract and Azure Document Intelligence, which work the same way: a per page API that returns JSON. Finance and operations teams that only need the tables from their PDFs in Excel are better served by a converter that returns an XLSX file, with nothing to configure and no code.
Not directly. Form Parser and Layout Parser detect tables and return them inside a Document object in JSON. To get a spreadsheet you write code, for example with the Document AI Toolbox Python library, which can turn each table into a pandas DataFrame that you then save as XLSX or CSV. PDFxlsx returns the workbook itself.
Google lists Enterprise Document OCR at $1.50 per 1,000 pages, Form Parser and Custom Extractor at $30 per 1,000 pages up to one million pages a month, and Layout Parser at $10 per 1,000 pages. Specialized parsers bill per document, for example $0.10 per ten pages for invoices and $0.75 per bank statement.
Only a small slice is. The first 1,000 pages a month of Enterprise Document OCR are listed at no charge, but OCR returns text without table structure. Table extraction runs through Form Parser or Layout Parser, which bill from the first page, and every call needs a Google Cloud project with billing turned on.
For anything beyond testing a sample in the console, yes. You create a Google Cloud project, enable billing and the API, create a processor, set up a service account, and call it from Python, Node.js, Java, Go or another client library. Batch jobs also need a Cloud Storage bucket for input and output.
Google documents a limit of 15 pages per online request for Form Parser, Layout Parser and OCR, or 30 in imageless mode. Batch requests allow up to 100 pages per document for Form Parser and 500 for Layout Parser and OCR, with a file size cap of 40 MB online and 1 GB in batch.
They are close competitors with similar per page pricing and a similar developer workflow, so the usual deciding factor is which cloud your company already runs on. Both return JSON rather than a spreadsheet. If Excel is the destination, compare either one against a converter rather than against each other.
Yes. PDFxlsx has a REST API on the Pro plan at $199 a month with unlimited conversions: POST a PDF, poll one status endpoint, then download XLSX or CSV or read the parsed tables as JSON. There is no processor to create and no cloud project to own.
Other PDF to Excel alternatives
Azure Document Intelligence Alternative for Form Recognizer PDF Tables in Excel
Azure Document Intelligence, formerly Form Recognizer, returns JSON you code against. Get PDF tables as an Excel file instead, billed per file, OCR included.
AlternativesLido PDF to Excel Alternative, Lido Pricing Compared for Teams That Outgrow 100 Pages
Lido costs $29 a month for 100 pages and one user, then $7,000 a year for Scale. Compare per file PDF to Excel plans with team seats and OCR included.
AlternativesRossum Alternative, Rossum Pricing After the Coupa Acquisition for Teams Below the $18,000 Floor
Rossum Starter is $18,000 a year on a one year minimum, and Coupa bought Rossum in May 2026. Compare monthly PDF to Excel plans for AP and finance teams.
AlternativesDocuPipe Alternative and DocuPipe Pricing for Teams That Need PDF Tables in Excel
DocuPipe bills 3 credits per page to parse and extract, from $90 a month for 3,000 credits. Compare per file PDF to Excel plans for statements and invoices.
Skip the pipeline and convert the PDF
Upload the statement or report your proof of concept never got to, check the sheet against the original, and choose a plan by how many files you convert a month. Monthly plans cancel any time, and yearly billing is $288 for Starter. Details are on the pricing page.