AI translation workspace that remembers your decisions across documents and languages
Turn a podcast into a blog post — free SEO draft
Stage
Startup
Not given
Founded
2025
Not given
Based in
DE
Not given
Pricing model
Freemium
Freemium
Pricing
Free: 5,500 credits per month. Lite: €9 or $10/month for 25,000 credits. Starter: €29 or $33/month for 80,000 credits. Pro: €79 or $90/month for 240,000 credits. Credit packs: €19/$22 for 30,000 credits, €55/$63 for 100,000 credits, €149/$170 for 300,000 credits. Standard mode costs 1 credit per sou
Free: 3 packs per day per IP, last 5 saved packs. Pro: first month $1.9, then $12/month, or $99/year billed annually. First 50 annual subscribers get 2 bonus months (14 months total).
Key features
Side-by-side document translation with block-by-block control
Reusable glossaries and styleguides across projects
Literess AI literary editor with cross-document memory
Support for 68 languages including all 24 EU official languages
Multiple file format import and export
Originality reports showing AI vs human contribution
Converts podcast transcripts and show notes to SEO blog drafts
Generates FAQ blocks and schema markup
Creates social media scripts
Includes publish checklist with canonical and sitemap guidance
Accepts audio file uploads for automatic transcription
Markdown and HTML download options
Pack history and recovery with email backup
BlogPosting and PodcastEpisode JSON-LD schema copy
Free podcast show notes template
What makes it different
Maintains terminology and tone consistency across entire documents and projects
Every translation decision is tracked with alternatives and reasoning
Originality reports document what the AI wrote versus what the user changed
Data never used to train AI models and hosted in Germany for GDPR compliance
Literess agent automates workflows while preserving user control over all decisions
Podcast-specific pack format instead of general AI rewriting
Works without a full transcript using structured show notes
Focuses on search intent and problem-solving rather than episode archive titles
Transept