AI · alternatives · 2026
24 alternatives to Nanonets Table Extractor
Supercharged table extraction from any document
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Nanonets Table Extractor launched in 2021; newer entries below may have overtaken it.
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2021 · extract-table.com · its alternatives →
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Transform unstructured data into actionable data, instantly
2024 · portday.com · its alternatives →
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Tables by Google▲783Tables helps teams easily track & automate tasks
2020 · tables.area120.google.com · its alternatives →
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Nanonets OCR▲197Intelligent text extraction using OCR and deep learning
2019 · case-study-page-nanonets.webflow.io · its alternatives →
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Intelligent table detection for instant web table extraction
2025 · chromewebstore.google.com · its alternatives →
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Free tool to extract tables from PDF and Images
2021 · docsumo.com · its alternatives →
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PDF Dino▲155Extract structured tables from messy PDFs using AI. Export to Excel, CSV, or JSON. Try 20 pages free—no credit card needed.
2025 · pdfdino.com · its alternatives →
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Extract tables from messy docs even photos in seconds. How?
2025 · its alternatives →
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Trellis AI▲151Let swarm of agents automate your most manual PDF tasks
2025 · runtrellis.com · its alternatives →
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Table Capture▲124Easily copy tabular data from websites to Excel, Sheets, etc
2019 · chromewebstore.google.com · its alternatives →
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Data Fetcher 2.0▲173Import data from anywhere into Airtable with no-code
2022 · airtable.com · its alternatives →
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API to extract tabular data from images and scanned PDFs
2019 · extracttable.com · its alternatives →
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Netrows▲13Real-time B2B data APIs. Enrich & extract, instantly.
Nov 2025 · netrows.com · its alternatives →
- 22

Extract boilerplate-free text from news links at scale
2021 · extractorapi.com · its alternatives →
- 23

Extract data from any Word table into Excel
2025 · chestnuttable.vercel.app · its alternatives →
- 24
NinjaDoc Ai▲90Hey HN, I'm the founder of Ninjadoc AI. I've spent years working with document processing, and I've always been frustrated by the existing solutions for structured data extraction. The core problem is that most tools force you into one of two bad options: Template-based extractors: You define fixed regions or rules. These are incredibly brittle and break the moment a document layout changes slightly (e.g., a new invoice template from a vendor). ML-based extractors: These require you to gather hundreds (sometimes thousands) of your own labeled documents to train a custom model for each…
2025 · ninjadoc.ai · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →