DocumentCast - AI Podcast Generator
Globant · Software Development
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
The AI Podcast Generator transforms static PDF documents into engaging, conversational audio podcasts. Key use cases include:
Content Repurposing: Convert whitepapers, reports, and articles into an audio format.
Show the rest of the publisher’s description (10 more lines)
Corporate Training & E-Learning: Transform training manuals into on-the-go learning modules.
Accessibility: Provide an audio version of written materials for visually impaired users.
Educational Material: Convert academic papers and study guides into digestible podcast episodes.
Features:
Advanced OCR that can process 1,000+ pages, including charts, tables, and images.
Voice cloning and novelty for authentic, brand-aligned audio.
Multilingual support, enabling content to reach global audiences.
Multi-agent orchestration, which ensures content is not just read aloud but understood, scripted, and delivered with personality.
Support to choose the right Large Language Models and Audio models.
And most importantly, every podcast iteration costs less than $1, making DocumentCast the most cost-effective way to turn static knowledge into a living, scalable audio channel.
Highlights
Highlighted by the publisher on AWS Marketplace.
DocumentCast is an AI solution that turns enterprise documents into natural, human-like audio in minutes. It uses advanced OCR to process large files (including charts and tables), combined with multilingual voice synthesis and multi-agent orchestration for consistent tone and branding. This enables scalable, cost-efficient (~$1 per iteration) conversion of content into podcast-style audio for global audiences.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Plans and pricing as listed
1 listedRefund terms
As stated by the publisher on AWS Marketplace.
Charges are usage-based and generally non-refundable once incurred, since underlying AWS-AI costs apply. We recommend trying it in a test setup first. If something feels off or you are not happy, just drop us a note at documentcast@globant.com. We will review and help out wherever possible.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.