Introduction

This US English Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for English -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 30 hours of dual-channel call center recordings between native US English speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for English real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

BatchData is both a data and technology solution helping businesses serving the real estate ecosystem achieve faster growth. BatchService specializes in providing accurate B2C contact data for US property owners, including in-depth intelligence and actionable insights related to the property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, and power their products and services.

BatchData US Phone Number Data leads the industry in right-party-contact accuracy and match rate to a specific property. Given a specific location, demographic profile and location criteria, we return a list of property owner names, phone numbers, emails, mailing addresses, carrier information, DNC status, and litigation status. Over 600+ additional surrounding data points including property information, demographics, and life events can be included with phone number data

Lead Generation: Call centers, marketing agencies, real estate businesses, and many other products and services trust the combination of BatchData and BatchDialer products to build, launch, and deploy successful calling campaigns, and see better results and happier agents with better phone number data.

Contact Enrichment: A suite of developer-friendly APIs make it easy to deploy our accurate phone numbers to verify customer phone numbers, improve compliance, and empower revenue teams with CRM contact enrichment.

Corporate Property Unmasking: Proprietary skip-tracing algorithms help companies identify and engage with the true human owner of a residential or commercial property behind the S-Corps, trusts, and LLC's.

Vast Phone Number Database: Access 255 million US phone numbers for comprehensive coverage, ensuring your business never misses an opportunity.

Property Ownership Insights: Gain valuable property ownership information, connecting phone numbers to the associated residential or commercial properties, enabling targeted real estate operations.

Demographic Data: Understand your contacts better with demographic insights, helping you tailor your offerings and marketing campaigns to specific audiences.

Additional Contact Details: Enhance your outreach by having access to mailing addresses and email addresses, ensuring multi-channel communication.

Phone Number Verification: Verify phone numbers to enhance security and ensure accurate communication, reducing fraud and improving trust in digital interactions.

Introduction

This Egyptian Arabic Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Arabic -speaking Real Estate customers. With over 40 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 40 hours of dual-channel call center recordings between native Egyptian Arabic speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Arabic real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

High-quality English call center speech dataset for real estate. Ideal for AI training, speech analytics, and NLP applications. Download now!

BatchData's Deed Dataset - Real Estate Transaction Data + Property Transaction Data

Unlock a wealth of historical real estate insights with BatchData's Deed Dataset. This premium offering provides detailed real estate transaction data, including comprehensive property transaction records with over 15 critical data points. Whether you're analyzing market trends, assessing investment opportunities, or conducting in-depth property research, this dataset delivers the granular information you need.

Why Choose BatchData?

At BatchData, we are committed to delivering the most accurate and comprehensive datasets in the industry. Our Deed Dataset exemplifies our dedication to quality and precision:

• Comprehensive Datasets: As a single-vendor provider, we offer an extensive array of data including property, homeowner, mortgage, listing, valuation, permit, demographic, foreclosure, and contact information. All this is available from one reliable source, streamlining your data acquisition process.

• Technical Excellence: Our dataset comes with clear documentation, purpose-built APIs, and extensive developer resources. Our technical teams are supported by robust engineering resources to ensure seamless integration and utilization.

• Tailor-Fit Pricing and Packaging: We understand that different businesses have different needs. That’s why we offer flexible pricing models and practical API metering. You only pay for the data you need, making our solutions scalable and aligned with your business objectives.

• Unmatched Contact Information Accuracy: We lead the industry with superior right-party contact rates, ensuring you get multiple accurate contact points, including highly reliable phone numbers.

Choose BatchData for your real estate data needs and experience unparalleled accuracy and flexibility in data solutions.

BatchData is used by lead generation, product, operations, and acquisitions teams to power websites, fuel applications, build lists, enrich data, and improve data governance. A suite of APIs and self-service list building platforms provide access to 150M+ residential properties.

Residential Real Estate Data includes: - Property Address Information - Assessment Details - Building Characteristics - Demographics - Foreclosure - Occupancy/Vacancy - Involuntary Liens - MLS & Agent Arrays - Owner Names & Mailing Address - Property Owner Profiles - Current & Prior Sales - Tax Information - Valuation & Equity

Real Estate Data APIs include: - Residential Property Search - Residential Property Lookup - Residential Address Verification - Residential Property Skip Trace - Geocoding

BatchData's robust data science team curates over a dozen primary and secondary tier 1 data sources to offer unparalleled database depth, accuracy, and completeness.

New Homeowner Data is a subset of our comprehensive property intelligence database that can be segmented by specific property criteria, household demographics, mortgage, and real estate portfolio information.

Companies in the home services, financial products, and consumer products industries use BatchData to identify new homeowners who have purchased a property in the last 90 days and uncover their direct phone number, email, and mailing address for timely marketing of products and services new homeowners need. New homeowner data can also be segmented property type (residential real estate or commercial real estate), length of ownership, owner occupancy status, and more!

New homeowner data is available in a variety of data delivery and data enrichment modes: API (you pull data from us using an API), webhook (we push data to you using an API), AWS S3 upload (we deliver the data to you), S3 download (you download the data from our S3 bucket), SFTP.

BatchData is both a data and technology solution helping companies in and around the real estate ecosystem achieve faster growth. BatchData specializes in providing accurate contact information for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, and power their products and services.

Introduction

This Japanese Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Japanese -speaking Real Estate customers. With over 40 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 40 hours of dual-channel call center recordings between native Japanese speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Japanese real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

Get homeowner contact info so you can target the right prospects. With Cole you have access to hyperlocal homeowner data that pinpoints the right prospects in exactly the right area.

Since 1947, Cole Information has helped real estate, insurance, and home service professionals reach the homeowners who need their help.

We started with reverse-look-up phone books used by door-to-door broom sellers, and we’ve evolved along the way into a software company with sophisticated tools that help people like you generate leads that help them serve homeowners.

Cole’s products help professionals create effective prospecting strategies in real estate, insurance, and home services.

Introduction

This Urdu Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Urdu -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 30 hours of dual-channel call center recordings between native Urdu speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Urdu real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

We used the open-access Zillow Inc. GetSearchResults API to sample house data for each ZPID in accordance with daily API call limits. For more information on the API see the official documentation page: https://www.zillow.com/howto/api/GetSearchResults.htm. We anonymized the property address and ZPID fields.

The audio dataset includes Call Center conversations from Real Estate, featuring Danish speakers from Denmark ,with detailed metadata.

Introduction

This Russian Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Russian -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 30 hours of dual-channel call center recordings between native Russian speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Russian real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

Off-the-shelf 20,000 hours Unscripted Call Center Telephony Speech Data, covering 30+ languages including English, German, French, Spanish, Italian, Portuguese, Korean, Japanese, Hindi, Arabic and etc. It covers multiple domains like finance, real-estate, sale, health, insurance, and telecom.

Set Up We’ll help ensure you’re set up to get the data you need, how you need it. We’ll help you through provisioning the extraction, enrichment, formatting, delivery/update schedule, and reporting around your data. With hundreds of unique data points available, the information you need to find leads fast is at your fingertips - new homeowner data, home ownership data, B2C contact data and more, built for professional services companies.

Custom Development We provide technical resources to support integration and delivery requirements specific to your business needs, augmenting developer resources to keep your team focused on other tasks.

Enrichment Services Enrichment services improve the accuracy, completeness, and depth of your dataset by regularly filling in blank values, and updating outdated records. We’ll help ensure that the specific data points, update candances, and replacement rules fit your GTM strategy.

Analysis Healthcheck We’ll audit your organization’s data health and usage strategy, and make sure you’re focused on the right KPIs and performance metrics.

Implementation Support From technical architecture to scheduled and flexible delivery of data in multiple formats, we make it easy to realize the value of better data.

Data Blending & Enhancement Combine multiple data sources to create a single, new dataset to standardize operations and enable better reporting.

ListBuilder combines 600+ property data, MLS, home ownership data, mortgage data, demographic data, geographic data, and contact data points within the self-service ListBuilding tool.

Easily search filters and narrow your list results to identify the U.S. homeowners, distressed property owners, potential borrowers, commercial property owners, investors, or home service consumers that best fit your target profile. All your property data and home ownership data in one place!

ListBuilder is used by marketing agencies, real estate professionals, home service providers, and operations teams to improve operations and optimize sales effectiveness.

Backed by the industries most accurate and comprehensive property and skip tracing sources (BatchData APIs), ListBuilder offers more granular targeting capabilities, with top-tier contact data accuracy.

The real estate investor reporting software market is experiencing robust growth, driven by the increasing adoption of technology within the real estate investment sector. The demand for efficient portfolio management, streamlined financial reporting, and data-driven decision-making is fueling this expansion. This market, estimated at $500 million in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $1.8 billion by 2033. Key drivers include the rising number of real estate investors, the need for improved investment tracking and analysis, and the growing complexity of real estate transactions. The market is segmented by software features (property management, financial reporting, deal analysis, etc.), deployment mode (cloud-based, on-premise), and user type (individual investors, property management companies, etc.). Emerging trends include AI-powered predictive analytics, integration with other real estate platforms, and increasing focus on mobile accessibility. While data security and integration complexities pose some restraints, the overall market outlook remains extremely positive. The competitive landscape is marked by a mix of established players and emerging startups. Companies like Agora, ReiSift, PropStream, DealMachine, and others cater to diverse segments within the market. The North American market currently holds the largest share, but growth in other regions, particularly in Europe and Asia-Pacific, is anticipated. This rapid growth is linked to increased internet penetration, rising smartphone usage, and the growing awareness of the benefits of technology-driven real estate investing. The continued expansion of the real estate market and the increasing sophistication of investor strategies will only serve to amplify the demand for robust and comprehensive reporting software, creating a promising long-term growth trajectory. Successful companies in this space will likely focus on delivering user-friendly interfaces, comprehensive features, and robust data security measures.

Introduction

This German Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for German -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 30 hours of dual-channel call center recordings between native German speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for German real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

1. Overview Format: 8kHz 16bit, wav, mono channel

Recording condition: Phone recording system, with low background noise (call center scenario)

Recording content: Spontaneous inbound and outbound callings in typical domain, such as finance, real-estate, sale, health, insurance, telecom

Language: English, German, French, Spanish, Italian, Portuguese, Korean, Japanese, Hindi, Arabic, Dutch, Swedish, Norwegian and etc.

Features of annotation: Transcription text, timestamp, speaker ID, gender, noise, PII redacted Accuracy: Word Accuracy Rate (WAR) 98%

1. About Nexdata Nexdata owns off-the-shelf PB-level Large Language Model(LLM) Data, 1 million hours of Audio Data and 800TB of Annotated Imagery Data. These ready-to-go Machine Learning (ML) Data support instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.nexdata.ai/datasets/speechrecog?source=Datarade

Update Frequency: Monthly

The data is sorted by tax account number by levy year. This allows multiple, delinquent levy year tax accounts for a single parcel to be listed contiguously. The full payment amount due on a delinquent real estate tax account will always include accrued tax interest and penalty charges, but may also include accrued judgment interest where a judgment has been taken. You may access the Current Tax Balance – Tax Search on our Web Site, or call the Customer Services Division at 414-286-2240 for the current full payment amount due.

70.03 Definition of real property. (1) In chs. 70 to 76, 78,and 79, “real property,” “real estate,” and “land” include not only the land itself but all buildings and improvements thereon, and all fixtures and rights and privileges appertaining thereto, except as provided in sub. (2) and except that for the purpose of time−share property, as defined in s. 707.02 (32), real property does not include recurrent exclusive use and occupancy on a periodic basis or other rights, including, but not limited to, membership rights, vacation services, and club memberships. (2) “Real property” and “real estate” do not include any permit or license required to place, operate, or maintain at a specific location one or more articles of personal property described under s. 70.04 (3) or any value associated with the permit or license.