An AI API puts a hosted model behind an HTTP call — classification, summarisation, sentiment, moderation, extraction — so your code gets the answer without you renting GPUs, picking weights, or keeping an inference server alive. One key covers every model here, billed per call.
Also called an LLM API, machine learning API, inference API or model API55 services in this categoryScan job description text for biased or exclusionary language. Returns a winner, rationale, and comparison matrix for hiring copy review.
Detect the language in an audio file from a URL or upload. Returns a locale code and confidence score for transcription routing.
Compare website URLs and get similarity scores, SEO scores, summaries, and suggested improvements for each site. Useful for overlap checks and audits.
Detect the language of a text string using ApyHub, Azure, or Google. Useful for routing, translation, and text classification.
Analyse public article URLs and return ranked keyword groups with scores. Useful for SEO research, topic clustering, and content planning.
Send a PDF or PDF URL and a natural-language question. Returns an answer string for document lookup, review, and support workflows.
Parse PDF, DOC, DOCX, TXT, or RTF resumes into candidate details, work history, education, languages, and certifications for HR workflows.
Compare a resume or CV with a job description and get match scores plus explanations. Useful for candidate screening and hiring workflows.
Generate related job titles from a role name. Returns ranked positions with relevance weights for recruiting, sourcing, and job taxonomy work.
Classify product review text and track async jobs by UUID. Get status, score, and opinion for feedback triage and review pipelines.
Generate ranked product category suggestions from a product name and parameters. Returns job status plus category names with weights for taxonomy workflows.
Analyze travel review text asynchronously and get a sentiment score with an opinion label. Useful for classifying guest, hotel, or airline feedback.
The question you arrived with, and the endpoint that answers it.