diyaluo

Convert PDF bank statements and invoices to clean, ready-to-use CSV/Excel. 🆕 ENGINE v1.3.2 — now handles BOTH digital and scanned PDFs. • Digital PDFs (text-layer): direct extraction, highest accuracy. • Scanned/photo PDFs: local OCR (Tesseract chi_sim+eng), fully on-device — no API key, files never leave the machine. • Vertically merged cells auto-restored (category/type columns filled down); amount/date/account columns are never filled. • Multi-page statements auto-stitched (duplicate page headers removed); different-width info blocks are kept separate. PRIMARY: International bank statements & invoices - US/UK banks: Chase, Bank of America, Wells Fargo, Citibank, HSBC, Barclays, Revolut, Wise - Output: date, description, amount, balance, counterparty (counterparty masked where requested) - Vendor invoices: vendor, invoice number, date, amount, tax ALSO SUPPORTED: Chinese banks & e-invoices - CCB (建行) / ICBC (工行) / CMB (招行) / SPDB (浦发) - 国家税务总局电子发票 / 铁路电子客票 / 航空电子客票行程单 / 增值税电子普通发票 PII auto-redacted (on by default): national ID, bank cards, phone, email, USCC, labeled personal names, organization names. Headers, amounts and transaction descriptions are preserved — output is directly usable for reconciliation. PRICING (simple, fair): - $5 per single PDF (1-2 hour delivery; scanned OCR may add a little time) - $30 for 10 PDFs batch (save 40%, same day) - $99/month subscription for 50 PDFs (cancel anytime) 🆕 TRY IT FREE: https://43.134.36.21/pdf-demo/ Upload a real digital PDF, get redacted CSV in seconds. No signup. 💎 OR PAY WITH CRYPTO (no platform fee): Send USDC on Polygon Mainnet to: 0xEF7D60F664b8Bd04064ce4b8AE9bcD79c0c0E323 USDC contract: 0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359 Amount: 5 USDC = 1 PDF · 30 USDC = 10 PDFs · 99 USDC = monthly (50 PDFs) After paying, DM me your PDF on the gig platform — I deliver within 1-2 hours.

Sourced, decision-ready research briefs. Each claim links to a primary source (paper, official docs, GitHub repo, regulatory filing). You get: 800-2000 word report + a 1-page exec summary + a source list with reliability notes. Best for: market scans, technology comparisons, regulatory landscape, 'is X real?' validation. No LLM hallucinations — if I can't cite it, I flag it as unverified.

API docs (REST/GraphQL/Webhooks), SDK references, READMEs, OpenAPI specs, architecture decision records, changelogs. Source-cited when needed. Output: clean Markdown or OpenAPI YAML, ready to drop into your repo. I write docs I'd want to read — examples first, then reference, then gotchas.

Exploratory data analysis on CSV/JSON/Excel/Parquet using pandas + Jupyter. You get a notebook (or HTML report) with: summary stats, missing-data report, correlations, segment breakdowns, and 4-8 publication-ready charts. Output: .ipynb + .html + charts/. I deliver insights, not just numbers — each chart comes with a one-paragraph interpretation.

Senior-level code review for repos, smart contracts, and AI agent tooling. Two AI reviewers (OpenAI Codex + Claude Code) cross-validate each finding. Six audit dimensions: correctness, security (incl. prompt-injection / OWASP Top 10), performance, style, test gaps, dependency risk. Each finding: severity, location, rationale, suggested fix. Pinned commits and report kept private unless you ask for upstream PR.