You will get Universal PDF Parser: Any Document, Fully Structured
Project details
Most PDF tools hand back a wall of text. This one hands back your data.
Universal PDF Parser turns any PDF — invoices, bills, statements, forms,
challans — into clean Markdown and structured JSON. Digital files are read
straight from the text layer in under a second. Scanned pages go through OCR
plus a vision model that rebuilds tables column by column, so every line item,
product code, tax figure and total lands in its own cell instead of collapsing
into a paragraph.
It runs entirely on your own hardware. Confidential documents never leave your
network, there are no per-page API fees, and there is no cloud vendor to vet. A
browser interface puts every original page beside its parsed output, so your
team verifies a result before trusting it, then exports Markdown or JSON in one
click.
Accuracy is measured, not asserted. On a scanned tax invoice with a six-row
line-item grid, the parser recovered 64 of 64 ground-truth values — invoice
number, tax ID, every quantity, rate, tax split and total — with the table
structure fully intact.
You get the working pipeline, the review interface, and a field-by-field
accuracy report on your own documents.
Universal PDF Parser turns any PDF — invoices, bills, statements, forms,
challans — into clean Markdown and structured JSON. Digital files are read
straight from the text layer in under a second. Scanned pages go through OCR
plus a vision model that rebuilds tables column by column, so every line item,
product code, tax figure and total lands in its own cell instead of collapsing
into a paragraph.
It runs entirely on your own hardware. Confidential documents never leave your
network, there are no per-page API fees, and there is no cloud vendor to vet. A
browser interface puts every original page beside its parsed output, so your
team verifies a result before trusting it, then exports Markdown or JSON in one
click.
Accuracy is measured, not asserted. On a scanned tax invoice with a six-row
line-item grid, the parser recovered 64 of 64 ground-truth values — invoice
number, tax ID, every quantity, rate, tax split and total — with the table
structure fully intact.
You get the working pipeline, the review interface, and a field-by-field
accuracy report on your own documents.
What's included
| Service Tiers |
Starter
$180
|
Standard
$600
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 1 | 3 | 5 |
Design Customization | - | - | |
Content Upload | |||
Responsive Design | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50
Additional Page
(+ 3 Days)
+$80
Design Customization
(+ 3 Days)
+$250
Responsive Design
(+ 3 Days)
+$90
Source Code
(+ 5 Days)
+$500About Tushar
Data Scientist | Generative AI (LLM/RAG) | AI/ML/NLP/Computer Vision |
Delhi, India - 11:07 pm local time
- Proven track record in developing and deploying end-to-end AI solutions for real-world business problems, with hands-on expertise in Python, SQL, LangChain, AWS, TensorFlow, and PyTorch.
- Built conversational AI systems integrated with multi-agent architectures, SQL coders, and real-time speech interfaces, enabling interactive, data-driven storytelling and smart document querying.
- Experienced in large-scale document processing pipelines, combining OCR and non-OCR methods for extracting structured insights from unstructured PDFs (25,000+ pages).
- Proficient in speech-related applications—delivered high-performance Text-to-Speech (TTS) and Speech Emotion Detection (SED) models, optimizing quality using advanced audio processing and deep learning techniques.
- Strong foundation in data science: exploratory data analysis, regression, statistical modeling, and visualization to extract actionable insights and support business decisions.
- Published researcher in computer vision and speech AI, showcasing a commitment to innovation, optimization, and impactful AI development.
- Adept at collaborating across teams and domains, aligning AI strategies with business goals, and mentoring junior members to foster a culture of experimentation and delivery excellence.
- Passionate about solving complex problems at scale using AI and automation—transforming manual workflows into intelligent, efficient systems.
Steps for completing your project
After purchasing the project, send requirements so Tushar can start the project.
Delivery time starts when Tushar receives requirements from you.
Tushar works on your project following the steps below.
Revisions may occur after the delivery date.
Review your samples and confirm the scope
I parse your samples as-is and send you the raw output, so we both see the baseline before any build starts. We agree the field list, the output format, and what "correct" means for your documents.
Build the parsing pipeline
Digital pages go to fast text extraction; scanned pages go to OCR plus a vision model that rebuilds tables column by column, so every value keeps its own cell instead of collapsing into text.