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Inkr: Accurate AI transcription & searchable notes. Free trial available.
Inkr is a powerful AI-driven platform designed to revolutionize how you interact with audio content. It offers highly accurate audio transcription and transforms your recordings into searchable, organized notes, saving you significant time and effort. Whether you're a student, professional, or content creator, Inkr streamlines your workflow by converting spoken words into text with remarkable speed and precision.
The platform excels at providing lightning-fast results, turning hours of audio into text in mere minutes. It supports a wide array of audio formats for import and allows for transcriptions in over 100 languages, breaking down communication barriers. With advanced features like automatic speaker identification and an AI assistant that can answer questions based on your transcripts, Inkr goes beyond simple transcription to become an intelligent knowledge management tool.
Inkr is ideal for anyone who works with audio content. This includes university students needing to transcribe lectures, journalists and content creators capturing interviews and ideas, customer support teams analyzing calls, and legal professionals requiring accurate record-keeping. Its versatility makes it a valuable tool for enhancing productivity and information retrieval across various industries.
Nanorater is an AI-powered face rater that provides personalized aesthetics scores, annotated feedback, and actionable fixes using unique persona presets.
Pricing Model
Supported Platforms
Supported Languages
Convert hours of audio into text in just a few minutes with remarkable speed.
Transcribe audio content in over 100 different languages, breaking down communication barriers.
Easily distinguish between different speakers in your audio recordings with automatic labeling.
Ask questions about your transcribed content and receive instant, AI-powered answers.
Draft, edit, or auto-fill notes using your transcripts with pre-designed templates.
Transcribe with confidence even in noisy environments, ensuring accurate capture of voices.
