PDF
Daytona Startup Grid — 2026
Private PDF workspace

The private PDF workspace that just works.

50+ PDF tools in one hosted app — merge, split, convert, sign, OCR, redact, compress. Free forever for light use. Pro from $6/mo, or $149 once.

contract_NDA_final_v7.pdf
redacted in 4s ✓
cancelled Adobe.
saved $239/yr.
never going back.— Priya, accountant
Shivam Singh · Founderarthize.com
The problem
Why one PDF feels painful

Free tools keep your files. Adobe keeps your wallet.

01

Free sites keep your files

Their terms say it plainly. A client NDA uploaded to a free converter becomes someone else's training data.

02

$240 a year, forever

Adobe charges $20/mo for the same six tools most people actually use. That is rent, not a purchase.

03

Every export breaks

Online converters mangle tables, fonts and headers. You end up retyping the page you just converted.

One workspace, every tool, files deleted after the job.arthize.com
The product
50+ tools, one window

Every tool on every plan — Free included.

Merge & split
Whole case files, page ranges, reorder.
Convert
Word, Excel, HTML, Markdown, JPG.
OCR
Scans and receipts into searchable text.
Redact
Remove text and regions before sharing.
Sign
Signatures and certificate sign.
Compress
Smaller files without broken fonts.
50+
Tools included
0
Files kept after job
0
Trackers
1
Workspace
Free tier: 15 tasks/mo, 10 MB, 25 pages. Paid lifts the caps, not the tools.arthize.com
Where we are
Live pricing

Pay once, or stay free. No renewal trap.

Plans

  • Free — 15 tasks/mo, 10 MB, 25 pages, no card.
  • Pro — $6/mo or $48/yr, larger files and batches.
  • Lifetime — $149 once, every future tool.

Company

  • Built by two humans, bootstrapped, no outside funding.
  • Files processed in a private workspace and auto-deleted.
  • No telemetry, no generative AI, no upsell pop-ups.
$6
Pro monthly
$149
Lifetime
2
Person team
$0
Outside funding
Why Daytona
Document work is compute

OCR and layout at scale need a GPU.

Today

OCR, layout analysis and redaction detection run on shared CPU workers. A 400-page scanned case file queues behind small jobs, and heavy documents time out before they finish. We cannot give every job its own isolated machine without paying for idle capacity.

What we want on GPU

  • Deep OCR on scanned pages, receipts and handwriting.
  • Layout and table detection so conversions keep their structure.
  • Redaction detection that finds names, signatures and ID numbers in scans.
  • One isolated sandbox per job, deleted when the file is.
400
Pages per case file
5–60s
Per job
20–100
Concurrent jobs
0
Files retained
The pipeline
One sandbox per document

Upload → process → return → delete.

01
Upload
PDF or scan into the private workspace.
→
02
Provision
GPU sandbox with OCR and layout weights restored.
→
03
Process
OCR, layout, redaction detection in parallel.
→
04
Render
Output PDF rebuilt with fonts and tables intact.
→
05
Delete
Sandbox and file destroyed after the job.

GPU sandbox

OCR, layout and redaction models with weights loaded from a snapshot, so a 400-page scan starts in seconds instead of downloading models per job.

CPU sandbox

Merge, split, compress, page rendering and ZIP assembly. Bursty by nature, so per-second billing beats a fixed fleet.

The ask
What we need
$10,000
in Daytona credits to run OCR, layout and redaction on GPU sandboxes — one per document.

What we will run

  • GPU sandboxes for OCR, layout analysis and redaction detection.
  • Batch tests on 400-page scanned case files.
  • Load tests at 20–100 concurrent jobs.

What you get back

Benchmarks for GPU vs CPU document processing, real usage data from production jobs, a written case study and developer content about private document AI on Daytona.

shivam.singh@arthize.comShivam Singh · arthize.com