u/Lanky_Supermarket_70

So I built a project to help improve context and reduce token usage when uploading/using documents like PDFs in AI models. It converts them to structured chunks and returns a bunch of other useful information.

If you wanted to learn more, you can find my website here: https://docs.parseflow.tech

There is also a demo available here: https://demo.parseflow.tech

Hey r/SaaS

i finally published and built my first project as a REST API. Took a long time and i'm really proud of how it turned out and am exited for hopefully getting users. So as i'm a broke student, i've been posting my project on communities and directories for free but obvisously haven't gotten any traction.

So I was wondering how people advertise and get users early and for free. Thanks for any help

So this idea started with chatbots like Gemini, ChatGPT and Claude. When I would use them for school work, and would upload my school documents, I would always get incorrect answers or simply confusion. So I decided to make a better system for AI models and LLMs to understand documents like PDFs, DOCX and TXT files.

This project started as a simple solution for AI to do my schoolwork and now it is called Parseflow, and today I published it. So how it works is when you send in a document, Parseflow will process it and extract all the information within and organize that data to return structured chunks, which can be used directly or can be searched through with the search features. By using Parseflow, you can improve context and reduce token costs. Currently it accepts PDFs, DOCX files and plain text.

I am still a student, graduating high school this year, so I built this project to try pay for university. I still have a lot to learn so any feedback, advice, questions, etc... are appreciated and you can DM me

So this idea started with chatbots like Gemini, ChatGPT and Claude. When I would use them for school work, and would upload my school documents, I would always get incorrect answers or simply confusion.

So this project started as a simple solution for AI to do my schoolwork and now it is called Parseflow, and today I published it. So how it works is when you send in a document, Parseflow will process it and extract all the information within and organize that data to return structured chunks, which can be used directly or can be searched through with the search features. By using Parseflow, you can improve context and reduce token costs. Currently it accepts PDFs, DOCX files and plain text.

I am still a student, graduating high school this year, so I built this project to try pay for university. I still have a lot to learn so any feedback, advice, questions, etc... are appreciated, you can DM me if you need.

So this idea started with chatbots like Gemini, ChatGPT and Claude. When I would use them for school work, and would upload my school documents, I would always get incorrect answers or simply confusion. So I decided to make a better system for AI models and LLMs to understand documents like PDFs, DOCX and TXT files.

So at first I focused on building out the basic extraction of documents, where tools like docling and PDFplumber were so useful and thanks to the people who created/maintain them. Then I got basic parsing and chunking logic done which took the longest. Trying to get it to correctly identify edge cases and not lose context and cut off half a table was super annoying. Eventually I got it done and now it's ready to ship.

I am a student developer and am very much still learning. I am trying to build this project to pay for tuition next year so any feedback, advice or questions are greatly appreciated.

If you want a demo of how it work, you can find it here: https://demo.parseflow.tech/

So this idea started with chatbots like Gemini, ChatGPT and Claude. When I would use them for school work, and would upload my school documents, I would always get incorrect answers or simply confusion. So I decided to make a better system for AI models and LLMs to understand documents like PDFs, DOCX and TXT files.

This project started as a simple solution for AI to do my schoolwork and now it is called Parseflow, and today I published it. So how it works is when you send in a document, Parseflow will process it and extract all the information within and organize that data to return structured chunks, which can be used directly or can be searched through with the search features. By using Parseflow, you can improve context and reduce token costs. Currently it accepts PDFs, DOCX files and plain text.

I am still a student, graduating high school this year, so I built this project to try pay for university. I still have a lot to learn so any feedback, advice, questions, etc... are appreciated and you can DM me or visit my website at docs.parseflow.tech

For context, I’m a student dev and am getting jealous of everyone making money coding. So I decided to build something to solve a problem I have but also pay for university i’m starting next year. So I built Parseflow, a document API which takes PDFs, DOCX and txt files and turns them to organized chunks with confidence scores, search indexing and many more features. So in the end, you can improve AI context and reduce token usage compared to simply uploading PDFs/DOCX

if you would like to try it out, theres a demo at demo.parseflow.tech

and the website is docs.parseflow.tech

any tips/advice are appreciated

So is there any such things as a marketing tracker, where you can track posts you make on different platforms, get info through texts and notifications of when people comment. Then also could create example responses to answer for you. Now it would also expand beyond reddit and really to all types of platforms and be able to see posts made by others and see if commenting in those posts are good opportunities to advertise.

Hope this kinda makes sense, for context I build a document processing API and now i’m trying to post about it but it’s a huge pain to track everything across all different platforms so wondering if its either smart to make it myself or if it exists already.

Hey everybody, So i'm a student developer graduating high school this year. So I've spent the last couple of months building a document parsing API and today marks the day i'm getting it all published. I don't want to self promote too much, I would just like some advice, brutal if needed, about my project and if you have any ideas to improve it or help improve profits.

So for context, the product is called Parseflow, its a document parsing API to convert PDFs, DOCX and TXT files into JSON, md or ZIP output with organisationg and chunking which can then be used in AI applications, LLMs and RAG pipelines (so i've been told). Doing this improves context in AIs and reduces token usage aswell as hallucination.

This product started as a solution for chatbots like GPT, Gemini, etc... to better understand my class work and documents so when a teacher dosn't make any sense, GPT can teach me instead. But now i've grown it into a project that can take all kind of documents and pull so many different kinds of data and organize it pretty efficiently.

So the website can be found at docs.parseflow.tech and a demo for how the parsing works can be found at demo.parseflow.tech

I am super open to any suggestions, feedback, advice, questions, etc... or even opportunities for custom versions. So for all of that you can reach me at hello@parseflow.tech

Hopefully this wasn't too long and maybe a couple people could find this useful, thanks.