Tool search 164,478 tools · 10,067 live servers

List the open-source AI applications hosted and ready to run at AI NetCafé (ainetcafe.com). Each one normally requires local setup (Docker/Python + your own model API key); here they run pre-configured. Use this to find a tool for a task like translating a PDF with formulas intact, generating a PowerPoint file, polishing an academic paper, or running an autonomous research report. Do not call this first when the request already clearly matches compare_models, translate_pdf, deep_research, or make_slides; call that task tool directly. Example — GET https://ainetcafe.com/t/list_apps

Convert a PDF (or a scanned page image) into clean Markdown that keeps headings, lists and tables, and puts multi-column pages in the right reading order. Text-layer PDFs are read exactly and cost far less; images go through a vision model.

Extract tables from a PDF into structured rows (JSON + CSV). Pass fields to force a fixed set of columns — that aligns a pile of documents that each name their headers differently into one consistent table. Rows the model was unsure about are flagged rather than guessed. Text-layer PDFs only.

Turn a bank statement or transaction PDF into a clean transaction table (JSON + CSV), then cross-check it: opening + credits - debits must equal the stated closing balance. If it does not balance you get the exact difference and which row the running balance first breaks at — so you know whether the table is safe to use for accounting. Text-layer PDFs only (scanned images not yet supported).

Give it up to 20 invoice URLs (PDF or page images) and get back one table ready to post: number, date, seller, buyer, net / tax / gross, currency. Every row is checked in code — net + tax must equal gross — and the batch total is re-added independently, so a row the model misread is flagged with the exact difference instead of quietly landing in your books. Mixed currencies get no batch total on purpose: adding them together would be an accounting error. CSV is UTF-8 with BOM so Excel opens it right.

Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>

Ruben Marcus' full resume: summary, work experience, skills, proof points, open source projects, education, links, and a PDF CV URL.

Search all indexed agent registries at once. Args: query: capability keywords, e.g. "pdf extraction", "solana rpc", "payments" remote_only: only return services callable over the network right now limit: max results (1-50)

FREE local input and safety check before purchase. Accepts UBL/CII XML or a base64 ZUGFeRD/Factur-X PDF with exactly one embedded invoice XML plus buyer country, expected amount/currency and a trusted payee IBAN. It checks format, limits and required context, but does not reveal the paid decision or query VIES/sanctions. Subject to daily abuse protection.

One signed decision before an EU invoice is paid: READY_FOR_BUYER_APPROVAL, HOLD_FOR_REVIEW or DO_NOT_PAY with evidence and safe next actions. Accepts UBL/CII XML or ZUGFeRD/Factur-X with one embedded invoice XML, not ordinary/scanned PDFs. Complete EN 16931 validation, live VIES, EU/UN/UK sanctions, VAT treatment and a buyer-trusted IBAN match. READY_FOR_BUYER_APPROVAL does not prove delivery, internal approval, duplicate-ledger status or bank-account ownership. Free input check first; 1.00 USDC per completed dossier, no subscription or paid follow-up.

Fetch a short-lived signed URL for the return shipping label PDF. URL expires within minutes; re-call to get a fresh one. Only available once the return has progressed to label_ready.

Create a follow-up task, optionally linked to a lead (e.g. 'Send pricing PDF to Jane on Thursday'). Pro plan only.

Read one text bucket file (HTML/CSS/JS/JSON/Markdown/etc.) already stored in Revdoku. Not for binary files (images, fonts, PDFs).

Convert a document to Markdown synchronously (the fast lane). Decode ``content_base64`` (the raw file bytes, base64-encoded) and run markitdown over it, returning ``{markdown, meta}`` where ``markdown`` is the converted text and ``meta`` carries the source ``filename`` and the output ``length`` in characters. Best for small office/HTML/text files; for large or complex documents (or OCR-heavy PDFs) use ``submit_conversion_job`` instead.

Extract text from a PDF by URL. Handles compressed streams, PDF 1.5+ object streams and ToUnicode CMaps, and reports encrypted or image-only documents honestly instead of returning garbage. Costs $0.01 in USDC on Base, paid via the x402 protocol.

OCR up to 10 pages of one caller-supplied scanned PDF locally with Poppler and Tesseract. Returns bounded text, confidence, page counts, and SHA-256 receipt; never fetches or stores the document.

Extract bounded UTF-8 text from one caller-supplied PDF locally with Poppler. Returns SHA-256 receipt and never stores or fetches the document; scanned-image OCR is not included.

Sniff PDF magic and approximate size from base64 prefix