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Speechify AI Dubbing

Last fetched

Speechify AI Dubbing is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under translation, with a published adopter count of 2 hostnames.

Profile

Category
translation
Broader grouping
marketing
Published adopter count
2
Vendor
speechify.com

Speechify AI Dubbing is a software solution that enables businesses to automatically dub existing videos into over 20 languages using artificial intelligence. It streamlines the localization process by eliminating the need for traditional dubbing resources like specialized equipment and voice talent, thereby facilitating global accessibility and expanding international reach for video content.

Vendor site: https://speechify.com/dubbing/

Sample adopters

2 hostnames WhisperGraph observed running Speechify AI Dubbing, a sample of the 2 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 2 Speechify AI Dubbing adopters, not of all 2 published adopters. A hostname counts once per network.

Related pages

Pivot from Speechify AI Dubbing into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.