DATAKU Alternatives

Extract insights from unstructured text and documents at scale, turning them into structured data for informed business decisions.
DATAKU screenshot thumbnail
Kadoa screenshot thumbnail

Kadoa

If you're looking for a replacement for DATAKU, Kadoa is another good option. This AI-powered web scraping platform extracts data, transforms it, and integrates it from different sources. It's a no-code platform that lets you set up data workflows up to 10 times faster. Kadoa is good for finance, ecommerce, job postings, and media monitoring, and it offers automated extraction, enterprise scale, and connectors to integrate with other services through API and pre-built connectors. Pricing starts with a free tier and moves to a self-service plan at $39/month and a custom enterprise plan.

Airparser screenshot thumbnail

Airparser

Another good replacement is Airparser. This advanced GPT-powered parser can extract structured data from a variety of documents, including emails, PDFs, images and HTML. It can automatically extract data like signatures, contact information and dates, and can be integrated with apps using webhooks, Zapier and Make. Airparser offers several pricing plans and a 30-credit trial so you can test its abilities before committing to a subscription plan.

ABBYY screenshot thumbnail

ABBYY

If you need something that can handle a very large volume of documents, ABBYY is worth a look. This digital transformation platform uses AI, NLP and OCR to automate business processes through intelligent document processing and data extraction. It can handle a variety of file formats and languages, and offers industry-specific solutions for things like accounts payable and customer onboarding. ABBYY is geared for companies that want to automate document-based processes for quick and accurate insights.

Sensible screenshot thumbnail

Sensible

Sensible also has powerful data extraction abilities, in particular for developers and product teams. By offering advanced parsing techniques and rich APIs, it can be easily integrated into existing applications. Sensible can extract data from a variety of document types, including resumes, invoices and contracts, with a library of more than 150 pre-configured parsers. It offers pricing based on the number of documents you need to process, so it can accommodate a variety of business needs.

More Alternatives to DATAKU

Extracta.ai screenshot thumbnail

Extracta.ai

Automate data extraction from unstructured documents, including CVs, invoices, and contracts, with customizable templates and no training required.

Cradl AI screenshot thumbnail

Cradl AI

Automates internal document workflows by extracting data from complex documents in seconds, allowing teams to focus on high-priority work.

Parseur screenshot thumbnail

Parseur

Automatically extracts text from PDFs, emails, and documents, sending extracted data to other applications, and saving time and labor.

Dataloop screenshot thumbnail

Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

FormX screenshot thumbnail

FormX

Instantly extract accurate data from documents with AI-powered automation, reducing errors and increasing productivity by up to 10 times.

Parsio screenshot thumbnail

Parsio

Automates data extraction from unstructured documents, like emails and PDFs, into structured formats, enabling seamless integration with over 6,000 apps.

ThirdAI screenshot thumbnail

ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.

Nanonets screenshot thumbnail

Nanonets

Automate data extraction from unstructured sources, leveraging AI-driven workflows to extract, enrich, and validate information, freeing employees from repetitive tasks.

TextMine screenshot thumbnail

TextMine

Consolidates business-critical documents into a single operational layer, enabling proactive decision making through increased data transparency and scalability.

Docufai screenshot thumbnail

Docufai

Instantly access answers from your documents with advanced search, summarization, and decision support tools, saving time and increasing productivity.

Document AI screenshot thumbnail

Document AI

Automates document processing, extracting data from various file formats, and validates it with custom rules, freeing you from manual labor and reducing errors.

Ocrolus screenshot thumbnail

Ocrolus

Converts unstructured financial documents into actionable data with industry-leading accuracy, enabling faster and more accurate decision-making.

DataGPT screenshot thumbnail

DataGPT

Get instant, analyst-level answers to data questions in seconds, with automated insights and visualizations, making complex data analysis accessible to everyone.

DocsDNA screenshot thumbnail

DocsDNA

Rapidly analyze complex documents with AI-powered technology, extracting insights and data with multilingual support and advanced OCR capabilities.

H2O.ai screenshot thumbnail

H2O.ai

Combines generative and predictive AI to accelerate human productivity, offering flexible foundation for business needs with cost-effective, customizable solutions.

DataChat screenshot thumbnail

DataChat

Access complex data insights without coding, using a familiar chat and spreadsheet interface to generate transparent, reproducible results.

Tabula screenshot thumbnail

Tabula

Automate data workflows, standardize disparate sources, and gain real-time insights without coding, empowering data-driven decision-making across departments.

Metatext screenshot thumbnail

Metatext

Build and manage custom NLP models fine-tuned for your specific use case, automating workflows through text classification, tagging, and generation.

Petal screenshot thumbnail

Petal

Unlock authoritative answers from trusted documents with context-aware AI, summarizing complex information and facilitating collaboration and content creation.

Coral AI screenshot thumbnail

Coral AI

Analyze documents in 90+ languages, summarizing content, answering questions, translating text, and generating citations, to save 10-15 hours of work per week.