Marker alternatives: 8 tools compared (October 2026)

Firecrawl is a web data API for developers who feed websites into AI applications. It scrapes, crawls, searches and maps sites and returns Markdown, HTML, screenshots or structured JSON.

Key functions

• Extracts structured data that matches a JSON schema you pass to the scrape endpoint
• Interact endpoint operates pages through natural-language instructions
• Returns clean Markdown prepared as input for language models

Compared with Marker

• Starts lower: from $16 per month, Marker from $400 per month.
• Strong in the same markets as Marker: United States.

Check before buying: Check whether scraping the target sites is allowed by their terms and applicable law; Firecrawl respects robots.txt by default, but that does not settle the legal question. The hosted service stores data in the United States; zero data retention and SSO are limited to Enterprise. Estimate credit use per page type before choosing a plan, and note that AGPL-3.0 has obligations if you modify and offer the code as a service.

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 Marker

• Can store data in the EU; Marker states no EU option.
• Starts lower: from $50 per month, Marker from $400 per month.
• Strong in the same markets as Marker: 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.

Amazon Textract is an AWS machine learning service that extracts text, handwriting, layout and structured data from scanned documents. It suits companies that already run workloads on AWS and need document processing at volume.

Key functions

• Detects printed and handwritten text in documents and images
• Queries answer natural-language questions about a document, customizable with a few samples
• Specialized APIs for expense documents, identity documents and lending packages

Compared with Marker

• Can store data in the EU; Marker states no EU option.
• Built for larger organizations than Marker's smallest customers.
• Strong in the same markets as Marker: United States.

Check before buying: Opt out of content use for service improvement through the AWS AI services opt-out policy if documents must stay in your region; otherwise some content may be stored in another region. Check the per-page price of each feature, since Forms, Tables and Queries cost more than plain OCR. Review compliance reports in AWS Artifact.

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 Marker

• Can store data in the EU; Marker states no EU option.
• Headquartered in France, Marker in United States.
• Starts lower: from $44 per month, Marker from $400 per month.

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.

Jina Reader turns any URL into text that language models can use: prefix a link with r.jina.ai and get clean Markdown, or query s.jina.ai to get search results as Markdown.

Key functions

• ReaderLM-v2 converts HTML into Markdown or JSON
• Vision-language model captions images on pages
• s.jina.ai returns the top five search results as Markdown

Compared with Marker

• Headquartered in Germany, Marker in United States.
• Strongest elsewhere: Germany.

Check before buying: Since the Elastic acquisition, the Elastic Customer DPA governs data processing; the Jina legal page links it. The Reader page does not state where data is hosted, so ask for hosting details. The ReaderLM-v2 model is licensed for non-commercial use only; commercial self-hosting needs a license from Elastic. Paid tiers bill by tokens, and each search costs at least 10,000 tokens.

MinerU is an open-source toolkit that converts PDFs, scanned images and Office documents into Markdown, JSON and other formats that language models can use. It suits teams building RAG or agent systems on large, mixed document collections.

Key functions

• Four parsing tiers from fast preview to accurate analysis of difficult layouts
• OCR and a visual language model for scans and photos of documents
• Local document library with search and stable citation locators for agents

Compared with Marker

• Strongest elsewhere: China.

Check before buying: Read the MinerU Open Source License: it is based on Apache 2.0 but adds conditions, so have legal review it before commercial use. If you use the hosted service at mineru.net, clarify where documents are processed and on what terms, since we found no prices or data terms on its homepage in September 2026. Self-hosting needs Python 3.10 to 3.14 and GPU capacity for the higher tiers.

Crawl4AI is an open-source Python web crawler that converts websites into clean Markdown for retrieval systems, AI agents and data pipelines. It runs as a library, in Docker or as a hosted API.

Key functions

• Outputs LLM-ready Markdown from crawled pages
• Hosted API extracts data with a language model, no LLM key of your own needed (POST /extract)
• MCP endpoint connects Claude Code, Codex, Cursor and OpenCode

Check before buying: Self-hosting means your team operates browsers, proxies and updates; the maintainer is an individual account, so plan for your own maintenance if the project slows down. For the hosted cloud, check where data is processed and whether a DPA is available before sending company data. Confirm that crawling your target sites is permitted. The tool offers features for bypassing bot protection: a stealth mode, an undetected-browser adapter for sites that detect automation, and automatic handling of bot walls in the cloud. Using them can breach the target sites' terms of use and is legally risky in Germany, for example under Section 202a of the German Criminal Code (StGB) or database rights. Have their use legally reviewed before deployment.

Docling is an open-source library that parses PDFs, Office files, images, audio and more into a structured format for generative AI. Teams use it as the first step of a RAG pipeline, especially when documents must stay on their own machines.

Key functions

• Detects page layout, reading order, table structure, formulas and code in PDFs
• OCR for scanned PDFs and images
• GraniteDocling visual language model and chart understanding

Check before buying: Docling is a Python library that your team installs, operates and updates; Python 3.10 or newer is required. OCR and visual models need more compute, so test throughput on your document volume. Some announced features such as metadata extraction are listed as coming soon and are not available yet.