Amazon Textract alternatives: 5 tools compared (October 2026)

LlamaParse is a hosted API that converts complex documents into structured, AI-ready output for RAG and agent applications. It is aimed at developer teams that do not want to operate their own parsing models.

Key functions

• Layout-aware parsing of PDFs, scans, invoices and forms
• Multimodal parsing of charts and tables
• Supports more than 100 languages

Compared with Amazon Textract

• Has a free plan; Amazon Textract does not.
• Targets companies under 50 employees, which Amazon Textract does not.
• Strong in the same markets as Amazon Textract: United States.

Check before buying: Decide between the global and the EU region before uploading documents, and request the data processing agreement for your contract. Credits are consumed per page and mode, so estimate monthly volume. SSO and private VPC deployment are Enterprise features.

Nanonets is an AI platform for document-heavy finance processes, with accounts payable and invoice processing as its main use case. Agents extract invoice data, apply business rules and post results to ERP and accounting systems.

Key functions

• Extracts invoice data with AI and uses confidence scores to decide between automation and review
• Learns from user corrections and becomes more reliable for recurring suppliers
• Stores business rules and procedures in a context graph that the agents use

Compared with Amazon Textract

• Targets companies under 50 employees, which Amazon Textract does not.
• Strong in the same markets as Amazon Textract: United States.

Check before buying: EU data residency, SAML single sign-on and on-premises deployment are only part of the Enterprise plan, so check which plan meets your data protection needs. Usage pricing depends on the number of blocks per invoice, so estimate volume before committing. For German invoices, confirm support for XRechnung and ZUGFeRD and whether a DATEV export fits your process, as neither appears on the product pages.

Google Cloud Vision API analyzes images through pretrained models. Developers use it to tag images, find objects and logos, read text and screen user uploads for explicit content, billed per feature and image.

Key functions

• Detects labels, objects with bounding boxes, logos and landmarks in images
• Text detection in images and dense document OCR including handwriting
• SafeSearch rates images for explicit content

Compared with Amazon Textract

• Has a free plan; Amazon Textract does not.
• Targets companies under 50 employees, which Amazon Textract does not.
• Starts higher: from $1.50 usage-based, Amazon Textract from $0.00 usage-based.

Check before buying: Use the EU endpoint explicitly if data must stay in the EU, since the global endpoint is the default and regional routing applies to OCR. Check whether face detection is needed at all, because processing facial images can count as biometric data under the GDPR. Estimate costs per feature, since each feature applied to an image is billed separately.

Marker is an open-source converter that turns PDFs, Office files, images and e-books into Markdown, JSON, chunks and HTML for use with language models. Datalab, its maintainer, also sells a hosted API and on-premises licenses.

Key functions

• Formats tables, forms, equations and code blocks during conversion
• Removes headers, footers and other artifacts
• Optional accuracy boost through a language model with your own prompt

Compared with Amazon Textract

• Has a free plan; Amazon Textract does not.
• Targets companies under 50 employees, which Amazon Textract does not.
• Strong in the same markets as Amazon Textract: United States.

Check before buying: Check whether your company exceeds the $5 million funding or revenue threshold, because then commercial use of the model weights needs a paid license from Datalab. For the hosted API, a BAA and DPA are included from the Team plan, and SSO is an Enterprise feature. Self-hosting means your team maintains the models and hardware.

Mindee is a document processing API from Paris that extracts data from invoices, receipts, identity documents, resumes and custom document types and returns structured JSON. Developers and product teams in companies of any size build it into their own applications.

Key functions

• Prebuilt extraction for invoices, receipts, passports, resumes, bank statements and driver's licenses
• Custom models without training, for any alphabet and language
• Classification, splitting of multi-page uploads and cropping of several documents per scan

Compared with Amazon Textract

• Headquartered in France, Amazon Textract in United States.
• Targets companies under 50 employees, which Amazon Textract does not.
• Strongest elsewhere: France.

Check before buying: Estimate your monthly pages and the credit cost per model, since features such as confidence scores raise the credit use per page. Plan amounts are shown in the pricing tool rather than as fixed figures, so ask for a quote for larger volumes. Mindee publishes a data processing agreement with a list of sub-processors; review it if documents contain personal data, such as ID cards or resumes.