
SlipRead
Extract any payslip or bank statement PDF in 10 seconds
What it does
Extract structured data from any payslip or bank statement PDFSlipRead uses AI to extract every field from payslip and bank statement PDFs instantly. Drop in any PDF — any bank, company, or language — and get clean structured data as JSON, CSV, or plain text. Translate field labels to English with one click. Files are deleted immediately after processing. 5 free extractions/month, no credit card required. Pro plan: $9/month for unlimited.
Does a similar job
all alternatives →
BankStatementLabMay 2026 · bankstatementlab.com · ▲82Turn any bank statement PDF into Excel, CSV or JSON with AI
- BPBank Parser – Convert US Bank Statement PDFs to QuickBooks-Ready ExcelMar 2026 · bank-parser.com · ▲6
I built a tool that converts PDF bank statements into structured Excel files for QuickBooks import. Banks provide CSV/QBO exports for ~90 days, but PDF statements go back 5-7 years. Bookkeepers who need to catch up on years of bookkeeping have no good option — they either retype everything manually or use generic PDF converters that break on financial layouts. Bank Parser has dedicated parsers for Chase, Bank of America, Wells Fargo, and Capital One (checking, savings, and credit cards). Each parser understands the specific PDF layout of that bank and extracts 17 fields per transaction…
Paper2BaseApr 2026 · balanced-alignment-production-b954.up.railway.app · ▲1Extract structured data from any document in seconds

- Bank PDF ConverterJul 2026 · bankpdftool.com · ▲5
Convert bank statement PDFs to clean Excel & CSV in seconds
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com