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today, we're launching Light Parse Extend can now parse documents up to 70% cheaper than other solutions - light parse starts at $0.00625 per page, and scales down significantly with volume discounts - it's SOTA on Databricks OfficeQA Pro (a 3rd party agent benchmark) among all non-agentic parsing providers...

57,730 views • 2 months ago •via X (Twitter)

45 Comments

Kushal Byatnal's profile picture
Kushal Byatnal2 months ago

light parse outperforms and outprices alternatives on document parsing Databricks OfficeQA Pro is a benchmark that measures how accurately an LLM can answer questions from scanned U.S. government financial documents this benchmark is truly independent. we ran the evaluation against it, but we had no part in designing it (nor did we commission it)

Ammaar Reshi's profile picture
Ammaar Reshi2 months ago

whenever I see kb in a video, I’m airplaying it to my TV

Kushal Byatnal's profile picture
Kushal Byatnal2 months ago

filming this video is what convinced me to go get a haircut

Ammaar Reshi's profile picture
Ammaar Reshi2 months ago

I don’t see the difference

Davis Treybig's profile picture
Davis Treybig2 months ago

Extend defining the full Pareto frontier for document processing!

Kushal Byatnal's profile picture
Kushal Byatnal2 months ago

🫡

Pri's profile picture
Pri2 months ago

Pleasure working on the launch video! 🔥

aiden brotman's profile picture
aiden brotman2 months ago

even more affordable and accurate? what can't extend do?

Darren Chow's profile picture
Darren Chow2 months ago

@chaneratextend extend ml team is so cracked

Kushal Byatnal's profile picture
Kushal Byatnal2 months ago

@chaneratextend wait until they see next weeks launch

bo lau's profile picture
bo lau2 months ago

this is huge

Kushal Byatnal's profile picture
Kushal Byatnal2 months ago

don't tell them what's coming next week

scott's profile picture
scott2 months ago

mr krabs approves

Hansen Qian's profile picture
Hansen Qian2 months ago

Congrats!!! Big accomplishment

Kushal Byatnal's profile picture
Kushal Byatnal2 months ago

ty hansen!

Mike Bedarev's profile picture
Mike Bedarev2 months ago

The Pareto Frontier had no idea what our next move was

Victor Dubeux's profile picture
Victor Dubeux2 months ago

light & cheap, let's go!!!!

James Russo's profile picture
James Russo2 months ago

Congrats on the launch!

Kushal Byatnal's profile picture
Kushal Byatnal2 months ago

thanks James!

Jordan Meyer's profile picture
Jordan Meyer2 months ago

they said it couldn't be done

Kushal Byatnal's profile picture
Kushal Byatnal2 months ago

that's because they've never met @ameyaajoshi and @joon_kim96

Cody's profile picture
Cody2 months ago

ACORD forms?

Kushal Byatnal's profile picture
Kushal Byatnal2 months ago

yup! very common use case for us

Pierre-Louis Vouteau's profile picture
Pierre-Louis Vouteau2 months ago

@ycombinator Congrats!!

Kushal Byatnal's profile picture
Kushal Byatnal2 months ago

@ycombinator thank you! we are big fans of @Ooakdata btw 🔥

Guhan's profile picture
Guhan2 months ago

Congrats to your team. Cost really matters; I am currently using LlamaParse. Would you be able to explain how your product works? Is it agentic because I am working on legal workflows that need pure reflection rather than interpretation?

John Wei's profile picture
John Wei2 months ago

congrats, lfg!

Arvind's profile picture
Arvind2 months ago

🔥 always cooking

Kushal Byatnal's profile picture
Kushal Byatnal2 months ago

a true chef never stops

Gordon Wintrob's profile picture
Gordon Wintrob2 months ago

Congrats Kushal and team!! ⚡️⚡️⚡️

Launch Archive's profile picture
Launch Archive2 months ago

Light Parse offers a cost-effective solution for document parsing, making it easier for developers to manage large data. Congrats @kushalbyatnal on #2 on Launch Archive today.

Kalyan's profile picture
Kalyan2 months ago

cheap parsing is huge - I lean on vision models to read grocery receipts in my new iOS pantry app:

Elise Tech Ai's profile picture
Elise Tech Ai2 months ago

70% lower costs with strong benchmark performance is a huge win—efficient document parsing is getting seriously competitive.

RAZA | AI EXPLORER's profile picture
RAZA | AI EXPLORER2 months ago

70% cheaper while maintaining strong benchmark performance is a huge win for document AI.

Luke Beck's profile picture
Luke Beck2 months ago

How is strikethrough detection?

SomacoSF's profile picture
SomacoSF2 months ago

add municipal permits by zipcode. meaning oull all munucipal permit data by zipcode so you can see what is being permitted for build. then you can extrapolate from there

Alice The Ai Expert's profile picture
Alice The Ai Expert2 months ago

Huge win 70% cheaper with SOTA accuracy is exactly what teams need!

Lokesh Sanapalli's profile picture
Lokesh Sanapalli2 months ago

Congratulations! How does it compare with firecrawl pdf inspector?

Internet Labs's profile picture
Internet Labs2 months ago

At $0.00625 a page, I’m about to parse every obnoxiously long CVS receipt I’ve ever received just to test the table models. Huge win for the builders.

Saurabh Jambure's profile picture
Saurabh Jambure2 months ago

Interesting

Romero Rodrigues's profile picture
Romero Rodrigues2 months ago

70 percent cheaper on the page is the actual product. Doc AI just became a cost line, not a seat. Whoever owns the parse at a fraction of a cent owns the agent workflow that sits on top of it.

Haseeb's profile picture
Haseeb2 months ago

70% cheaper gets especially interesting once parsing becomes a default step in every document workflow.

Modelplane's profile picture
Modelplane2 months ago

The 70% cheaper claim is bold—curious how it holds up on complex layouts like tables or handwriting, where parsing costs usually spike. Databricks OfficeQA Pro is a solid benchmark, but real-world docs always find the edge cases.

Dinesh | Umbra's profile picture
Dinesh | Umbra2 months ago

the real ai race is becoming a race to zero inference cost

Vakada Rohit's profile picture
Vakada Rohit2 months ago

70% cheaper without sacrificing accuracy is a seriously impressive improvement.

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