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46 prompts · 0 collectionsClassify the overall sentiment of text (positive / negative / neutral / mixed) with a rationale and confidence score. Strict JSON output.
Classify text into a caller-supplied label set (you define the labels at call time). Returns the single best-fit label with a rationale and confidence. Optional fallback label.
Named-entity recognition: extract people, organizations, locations, dates, money, and more from text — each with a canonical normalized_value and a matched-text + occurrence-index span. Optionally restrict to a caller-supplied set of entity types.
Detect and redact personally identifiable information (PII) — emails, phone numbers, names, addresses, card and account numbers, and more. Returns each detected span plus a fully redacted copy of the text. Optionally restrict to a caller-supplied set of PII types.
Generic structured extraction: pull a caller-defined set of named fields out of any messy text — receipts, emails, forms, notes. You describe the fields; it returns each value (canonical string) or null when absent, with no fabrication. See invoice-extraction for a ready-made specialization.
Turn a raw invoice or receipt into structured JSON — vendor, invoice/due dates, currency, line items, subtotal, tax, and total. Dates normalized to ISO 8601, amounts to plain decimals. Optional locale hint disambiguates date and number formats. A worked, strongly-typed specialization of key-information-extraction.
Condense text into a structured JSON summary — title, key points, action items, and entities mentioned — instead of prose. Built for meeting notes, email threads, articles, and agent handoffs. Optional cap on the number of key points.
Parse an unstructured address string into structured components — recipient, street, unit, city, state/region, postal code, and country. Optional country hint guides format expectations. Returns a confidence score.
Extract scheduled events from natural-language text with resolved ISO 8601 start/end times. Relative dates ("next Tuesday", "tomorrow at 3") are resolved against a reference date and IANA timezone you supply. Returns title, start, end, all-day flag, and location per event.
Translate a labeled batch of texts into a target language in one call — one result per item in input order, labels echoed verbatim, with placeholders, HTML, and markdown preserved character-for-character in every translation.