I

I built a tool to extract tables from PDFs

Hacker News

I built a tool to extract tables from PDFs

Hello It's been quite frustrating to find an online tool that will easily extract tables from PDFs. So I built one. https://www.tablex.dev Hope you enjoy it.

Share card

Actual performance

5points
3comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

CanaryPDF
CanaryPDF14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Extract tables from PDFs — in your browser.

Indie Hackers1data
Tabify
Tabify46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Easily extract data tables from pdfs

Indie Hackers1b2b
Tablextract
Tablextract64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Extract tables from anything.

Product Hunt+129Productivity
Ex
Excalibur – A web interface to extract tables from PDFs58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Excalibur – A web interface to extract tables from PDFs

Hacker News1
I
I made a tool in which you can extract CSV tables from PDF files44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a tool in which you can extract CSV tables from PDF files

Hacker News1
Tu
Turn PDFs into HTML Tables70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn PDFs into HTML Tables

Hacker News5
Ho
Hotpdf – Search and Extract text within PDFs66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hotpdf – Search and Extract text within PDFs

Hacker News10
St
Stanchion – Column-oriented tables in SQLite61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stanchion – Column-oriented tables in SQLite

Hacker News273
Fi
Find and Delete Unused Snowflake Tables47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find and Delete Unused Snowflake Tables

Hacker News1
I
I made a tool to extract data from thousands of PDFs in minutes66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a tool to extract data from thousands of PDFs in minutes

Hacker News3