KamiAI – The easiest way to get data from your documents

Hacker News

Hi HN, When we started our other company, we found extracting data from documents to be our biggest challenge. We needed to read images, scans, Word documents, XFA PDFs, and many more types of documents. We spent several months figuring out the best way to extract text from all these sources. Existing tools were clunky, overpriced, and not comprehensive enough for our use. That's why we built Kami. We aim to make data extraction from documents painless. Our document processing pipeline is tailored to read documents and extract data from it. We support scanned PDFs, digital PDFs, XFA PDFs, Doc and Docx files, MSG files, images (PNG/JPG), and more. We automatically OCR documents where needed, and use our LLMs to get data out of it. Our clear and predictable pricing ensures no surprises, eliminating the need for complex OCR pipelines, custom models, or expensive LLMs. Our beta users have used Kami for literature reviews, data extraction from receipts and invoices, and building document chatbots. We're committed to data privacy and security, never using your documents to train models or selling your data to third parties. You can test Kami at https://kamiai.co . Every user starts with free credits so you can get going without any payments. We’re still in early beta and ironing out a few bugs and issues. Email us at founders@eazydraft.com with any issues, and we'll address them ASAP. We look forward to your feedback!

Visit product View on Hacker NewsJun 18, 2024

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

95%95% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, models · Missing: mac, agents, macos

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, pipe · Missing: https docs, excited, just released

60%60% 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 · Strong signals: reviews, users · Missing: plus, platform, intuitive

58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, users, way · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

The easiest way to make documents for GraphQL71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The easiest way to make documents for GraphQL

Hacker News2

Mindkosh AI37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The easiest way to get your data labeled.

Indie Hackers2$1,500/moai

Coinwell - the easiest way to mine litecoins60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Coinwell - the easiest way to mine litecoins

Hacker News13

LiftTrack69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Easiest Way to Lift with Your Garmin

Indie Hackers1$300/mohealth-fitness

MySkinPal – The Easiest Way to Track Your Moles54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MySkinPal – The Easiest Way to Track Your Moles

Hacker News5

SourceAcademy68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Easiest way to get a website made.

Indie Hackers1e-commerce

Repostify60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The easiest way to repurpose and repost content everywhere.

Product Hunt+5

FileApproved59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The easiest way to approve files.

Indie Hackers1b2b

Intro – Easiest way to intro yourself now on Android58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Intro – Easiest way to intro yourself now on Android

Hacker News4

Sprynkl, the easiest way to get and give feedback56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sprynkl, the easiest way to get and give feedback

Hacker News2

Browse all products Analyze your launch